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[Commit-gnuradio] [gnuradio] 08/20: whitespace fixes and some minor adju
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From: |
git |
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Subject: |
[Commit-gnuradio] [gnuradio] 08/20: whitespace fixes and some minor adjustments for building the Python manual. |
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Date: |
Fri, 28 Aug 2015 19:19:51 +0000 (UTC) |
This is an automated email from the git hooks/post-receive script.
jcorgan pushed a commit to branch master
in repository gnuradio.
commit dff90672879bf1ed9d3e083ba236fdd6ce29e168
Author: Tom Rondeau <address@hidden>
Date: Mon Aug 17 12:26:24 2015 -0400
whitespace fixes and some minor adjustments for building the Python
manual.
---
.../python/gnuradio/ctrlport/gr-perf-monitorx | 2 +-
.../include/gnuradio/digital/pfb_clock_sync_ccf.h | 2 +-
gr-digital/python/digital/ofdm_packet_utils.py | 529 ++++++++++-----------
gr-digital/python/digital/ofdm_txrx.py | 39 +-
gr-digital/python/digital/psk_constellations.py | 96 ++--
gr-digital/python/digital/qam_constellations.py | 256 +++++-----
gr-digital/python/digital/soft_dec_lut_gen.py | 109 ++---
gr-fec/examples/tpc_ber_curve_gen.py | 457 ++++++++++++++++++
gr-filter/python/filter/pfb.py | 16 +-
9 files changed, 983 insertions(+), 523 deletions(-)
diff --git a/gnuradio-runtime/python/gnuradio/ctrlport/gr-perf-monitorx
b/gnuradio-runtime/python/gnuradio/ctrlport/gr-perf-monitorx
index a05ea3a..621cc61 100644
--- a/gnuradio-runtime/python/gnuradio/ctrlport/gr-perf-monitorx
+++ b/gnuradio-runtime/python/gnuradio/ctrlport/gr-perf-monitorx
@@ -582,7 +582,7 @@ class MForm(QtGui.QWidget):
def pauseFlowgraph(self):
knobs = [self.radioclient.Knob(self.top_block + "::lock"),
- self.radioclient.Knob(self.top_block + "::stop")]
+ self.radioclient.Knob(self.top_block + "::stop")]
k = self.radioclient.setKnobs(knobs)
def unpauseFlowgraph(self):
diff --git a/gr-digital/include/gnuradio/digital/pfb_clock_sync_ccf.h
b/gr-digital/include/gnuradio/digital/pfb_clock_sync_ccf.h
index cdaaeb2..4d489d1 100644
--- a/gr-digital/include/gnuradio/digital/pfb_clock_sync_ccf.h
+++ b/gr-digital/include/gnuradio/digital/pfb_clock_sync_ccf.h
@@ -319,7 +319,7 @@ namespace gr {
* \brief Returns the current error of the control loop.
*/
virtual float error() const = 0;
-
+
/*!
* \brief Returns the current rate of the control loop.
*/
diff --git a/gr-digital/python/digital/ofdm_packet_utils.py
b/gr-digital/python/digital/ofdm_packet_utils.py
index c49dfe4..e9ca641 100644
--- a/gr-digital/python/digital/ofdm_packet_utils.py
+++ b/gr-digital/python/digital/ofdm_packet_utils.py
@@ -1,23 +1,23 @@
#
# Copyright 2007 Free Software Foundation, Inc.
-#
+#
# This file is part of GNU Radio
-#
+#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
-#
+#
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
-#
+#
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
-#
+#
import struct
import numpy
@@ -47,7 +47,7 @@ def conv_1_0_string_to_packed_binary_string(s):
"""
if not is_1_0_string(s):
raise ValueError, "Input must be a string containing only 0's and 1's"
-
+
# pad to multiple of 8
padded = False
rem = len(s) % 8
@@ -67,7 +67,7 @@ def conv_1_0_string_to_packed_binary_string(s):
r.append(chr(t))
i += 8
return (''.join(r), padded)
-
+
def is_1_0_string(s):
if not isinstance(s, str):
@@ -107,7 +107,7 @@ def make_packet(payload, samples_per_symbol,
bits_per_symbol,
bits_per_symbol: (needed for padding calculation) (int)
whitener_offset: offset into whitener string to use [0-16)
whitening: Turn whitener on or off (bool)
-
+
Packet will have access code at the beginning, followed by length, payload
and finally CRC-32.
"""
@@ -162,7 +162,7 @@ def _npadding_bytes(pkt_byte_len, samples_per_symbol,
bits_per_symbol):
if r == 0:
return 0
return byte_modulus - r
-
+
def unmake_packet(whitened_payload_with_crc, whitener_offset=0, dewhitening=1):
"""
@@ -191,262 +191,261 @@ def unmake_packet(whitened_payload_with_crc,
whitener_offset=0, dewhitening=1):
# FYI, this PN code is the output of a 15-bit LFSR
random_mask_tuple = (
- 255, 63, 0, 16, 0, 12, 0, 5, 192, 3, 16, 1, 204, 0, 85,
192,
- 63, 16, 16, 12, 12, 5, 197, 195, 19, 17, 205, 204, 85, 149, 255,
47,
- 0, 28, 0, 9, 192, 6, 208, 2, 220, 1, 153, 192, 106, 208, 47,
28,
- 28, 9, 201, 198, 214, 210, 222, 221, 152, 89, 170, 186, 255, 51, 0,
21,
- 192, 15, 16, 4, 12, 3, 69, 193, 243, 16, 69, 204, 51, 21, 213,
207,
- 31, 20, 8, 15, 70, 132, 50, 227, 85, 137, 255, 38, 192, 26, 208,
11,
- 28, 7, 73, 194, 182, 209, 182, 220, 118, 217, 230, 218, 202, 219, 23,
27,
- 78, 139, 116, 103, 103, 106, 170, 175, 63, 60, 16, 17, 204, 12, 85,
197,
- 255, 19, 0, 13, 192, 5, 144, 3, 44, 1, 221, 192, 89, 144, 58,
236,
- 19, 13, 205, 197, 149, 147, 47, 45, 220, 29, 153, 201, 170, 214, 255,
30,
- 192, 8, 80, 6, 188, 2, 241, 193, 132, 80, 99, 124, 41, 225, 222,
200,
- 88, 86, 186, 190, 243, 48, 69, 212, 51, 31, 85, 200, 63, 22, 144,
14,
- 236, 4, 77, 195, 117, 145, 231, 44, 74, 157, 247, 41, 134, 158, 226,
232,
- 73, 142, 182, 228, 118, 203, 102, 215, 106, 222, 175, 24, 124, 10, 161,
199,
- 56, 82, 146, 189, 173, 177, 189, 180, 113, 183, 100, 118, 171, 102, 255,
106,
- 192, 47, 16, 28, 12, 9, 197, 198, 211, 18, 221, 205, 153, 149, 170,
239,
- 63, 12, 16, 5, 204, 3, 21, 193, 207, 16, 84, 12, 63, 69, 208,
51,
- 28, 21, 201, 207, 22, 212, 14, 223, 68, 88, 51, 122, 149, 227, 47,
9,
- 220, 6, 217, 194, 218, 209, 155, 28, 107, 73, 239, 118, 204, 38, 213,
218,
- 223, 27, 24, 11, 74, 135, 119, 34, 166, 153, 186, 234, 243, 15, 5,
196,
- 3, 19, 65, 205, 240, 85, 132, 63, 35, 80, 25, 252, 10, 193, 199,
16,
- 82, 140, 61, 165, 209, 187, 28, 115, 73, 229, 246, 203, 6, 215, 66,
222,
- 177, 152, 116, 106, 167, 111, 58, 172, 19, 61, 205, 209, 149, 156, 111,
41,
- 236, 30, 205, 200, 85, 150, 191, 46, 240, 28, 68, 9, 243, 70, 197,
242,
- 211, 5, 157, 195, 41, 145, 222, 236, 88, 77, 250, 181, 131, 55, 33,
214,
- 152, 94, 234, 184, 79, 50, 180, 21, 183, 79, 54, 180, 22, 247, 78,
198,
- 180, 82, 247, 125, 134, 161, 162, 248, 121, 130, 162, 225, 185, 136, 114,
230,
- 165, 138, 251, 39, 3, 90, 129, 251, 32, 67, 88, 49, 250, 148, 67,
47,
- 113, 220, 36, 89, 219, 122, 219, 99, 27, 105, 203, 110, 215, 108, 94,
173,
- 248, 125, 130, 161, 161, 184, 120, 114, 162, 165, 185, 187, 50, 243, 85,
133,
- 255, 35, 0, 25, 192, 10, 208, 7, 28, 2, 137, 193, 166, 208, 122,
220,
- 35, 25, 217, 202, 218, 215, 27, 30, 139, 72, 103, 118, 170, 166, 255,
58,
- 192, 19, 16, 13, 204, 5, 149, 195, 47, 17, 220, 12, 89, 197, 250,
211,
- 3, 29, 193, 201, 144, 86, 236, 62, 205, 208, 85, 156, 63, 41, 208,
30,
- 220, 8, 89, 198, 186, 210, 243, 29, 133, 201, 163, 22, 249, 206, 194,
212,
- 81, 159, 124, 104, 33, 238, 152, 76, 106, 181, 239, 55, 12, 22, 133,
206,
- 227, 20, 73, 207, 118, 212, 38, 223, 90, 216, 59, 26, 147, 75, 45,
247,
- 93, 134, 185, 162, 242, 249, 133, 130, 227, 33, 137, 216, 102, 218, 170,
219,
- 63, 27, 80, 11, 124, 7, 97, 194, 168, 81, 190, 188, 112, 113, 228,
36,
- 75, 91, 119, 123, 102, 163, 106, 249, 239, 2, 204, 1, 149, 192, 111,
16,
- 44, 12, 29, 197, 201, 147, 22, 237, 206, 205, 148, 85, 175, 127, 60,
32,
- 17, 216, 12, 90, 133, 251, 35, 3, 89, 193, 250, 208, 67, 28, 49,
201,
- 212, 86, 223, 126, 216, 32, 90, 152, 59, 42, 147, 95, 45, 248, 29,
130,
- 137, 161, 166, 248, 122, 194, 163, 17, 185, 204, 114, 213, 229, 159, 11,
40,
- 7, 94, 130, 184, 97, 178, 168, 117, 190, 167, 48, 122, 148, 35, 47,
89,
- 220, 58, 217, 211, 26, 221, 203, 25, 151, 74, 238, 183, 12, 118, 133,
230,
- 227, 10, 201, 199, 22, 210, 142, 221, 164, 89, 187, 122, 243, 99, 5,
233,
- 195, 14, 209, 196, 92, 83, 121, 253, 226, 193, 137, 144, 102, 236, 42,
205,
- 223, 21, 152, 15, 42, 132, 31, 35, 72, 25, 246, 138, 198, 231, 18,
202,
- 141, 151, 37, 174, 155, 60, 107, 81, 239, 124, 76, 33, 245, 216, 71,
26,
- 178, 139, 53, 167, 87, 58, 190, 147, 48, 109, 212, 45, 159, 93, 168,
57,
- 190, 146, 240, 109, 132, 45, 163, 93, 185, 249, 178, 194, 245, 145, 135,
44,
- 98, 157, 233, 169, 142, 254, 228, 64, 75, 112, 55, 100, 22, 171, 78,
255,
- 116, 64, 39, 112, 26, 164, 11, 59, 71, 83, 114, 189, 229, 177, 139,
52,
- 103, 87, 106, 190, 175, 48, 124, 20, 33, 207, 88, 84, 58, 191, 83,
48,
- 61, 212, 17, 159, 76, 104, 53, 238, 151, 12, 110, 133, 236, 99, 13,
233,
- 197, 142, 211, 36, 93, 219, 121, 155, 98, 235, 105, 143, 110, 228, 44,
75,
- 93, 247, 121, 134, 162, 226, 249, 137, 130, 230, 225, 138, 200, 103, 22,
170,
- 142, 255, 36, 64, 27, 112, 11, 100, 7, 107, 66, 175, 113, 188, 36,
113,
- 219, 100, 91, 107, 123, 111, 99, 108, 41, 237, 222, 205, 152, 85, 170,
191,
- 63, 48, 16, 20, 12, 15, 69, 196, 51, 19, 85, 205, 255, 21, 128,
15,
- 32, 4, 24, 3, 74, 129, 247, 32, 70, 152, 50, 234, 149, 143, 47,
36,
- 28, 27, 73, 203, 118, 215, 102, 222, 170, 216, 127, 26, 160, 11, 56,
7,
- 82, 130, 189, 161, 177, 184, 116, 114, 167, 101, 186, 171, 51, 63, 85,
208,
- 63, 28, 16, 9, 204, 6, 213, 194, 223, 17, 152, 12, 106, 133, 239,
35,
- 12, 25, 197, 202, 211, 23, 29, 206, 137, 148, 102, 239, 106, 204, 47,
21,
- 220, 15, 25, 196, 10, 211, 71, 29, 242, 137, 133, 166, 227, 58, 201,
211,
- 22, 221, 206, 217, 148, 90, 239, 123, 12, 35, 69, 217, 243, 26, 197,
203,
- 19, 23, 77, 206, 181, 148, 119, 47, 102, 156, 42, 233, 223, 14, 216,
4,
- 90, 131, 123, 33, 227, 88, 73, 250, 182, 195, 54, 209, 214, 220, 94,
217,
- 248, 90, 194, 187, 17, 179, 76, 117, 245, 231, 7, 10, 130, 135, 33,
162,
- 152, 121, 170, 162, 255, 57, 128, 18, 224, 13, 136, 5, 166, 131, 58,
225,
- 211, 8, 93, 198, 185, 146, 242, 237, 133, 141, 163, 37, 185, 219, 50,
219,
- 85, 155, 127, 43, 96, 31, 104, 8, 46, 134, 156, 98, 233, 233, 142,
206,
- 228, 84, 75, 127, 119, 96, 38, 168, 26, 254, 139, 0, 103, 64, 42,
176,
- 31, 52, 8, 23, 70, 142, 178, 228, 117, 139, 103, 39, 106, 154, 175,
43,
- 60, 31, 81, 200, 60, 86, 145, 254, 236, 64, 77, 240, 53, 132, 23,
35,
- 78, 153, 244, 106, 199, 111, 18, 172, 13, 189, 197, 177, 147, 52, 109,
215,
- 109, 158, 173, 168, 125, 190, 161, 176, 120, 116, 34, 167, 89, 186, 186,
243,
- 51, 5, 213, 195, 31, 17, 200, 12, 86, 133, 254, 227, 0, 73, 192,
54,
- 208, 22, 220, 14, 217, 196, 90, 211, 123, 29, 227, 73, 137, 246, 230,
198,
- 202, 210, 215, 29, 158, 137, 168, 102, 254, 170, 192, 127, 16, 32, 12,
24,
- 5, 202, 131, 23, 33, 206, 152, 84, 106, 191, 111, 48, 44, 20, 29,
207,
- 73, 148, 54, 239, 86, 204, 62, 213, 208, 95, 28, 56, 9, 210, 134,
221,
- 162, 217, 185, 154, 242, 235, 5, 143, 67, 36, 49, 219, 84, 91, 127,
123,
- 96, 35, 104, 25, 238, 138, 204, 103, 21, 234, 143, 15, 36, 4, 27,
67,
- 75, 113, 247, 100, 70, 171, 114, 255, 101, 128, 43, 32, 31, 88, 8,
58,
- 134, 147, 34, 237, 217, 141, 154, 229, 171, 11, 63, 71, 80, 50, 188,
21,
- 177, 207, 52, 84, 23, 127, 78, 160, 52, 120, 23, 98, 142, 169, 164,
126,
- 251, 96, 67, 104, 49, 238, 148, 76, 111, 117, 236, 39, 13, 218, 133,
155,
- 35, 43, 89, 223, 122, 216, 35, 26, 153, 203, 42, 215, 95, 30, 184,
8,
- 114, 134, 165, 162, 251, 57, 131, 82, 225, 253, 136, 65, 166, 176, 122,
244,
- 35, 7, 89, 194, 186, 209, 179, 28, 117, 201, 231, 22, 202, 142, 215,
36,
- 94, 155, 120, 107, 98, 175, 105, 188, 46, 241, 220, 68, 89, 243, 122,
197,
- 227, 19, 9, 205, 198, 213, 146, 223, 45, 152, 29, 170, 137, 191, 38,
240,
- 26, 196, 11, 19, 71, 77, 242, 181, 133, 183, 35, 54, 153, 214, 234,
222,
- 207, 24, 84, 10, 191, 71, 48, 50, 148, 21, 175, 79, 60, 52, 17,
215,
- 76, 94, 181, 248, 119, 2, 166, 129, 186, 224, 115, 8, 37, 198, 155,
18,
- 235, 77, 143, 117, 164, 39, 59, 90, 147, 123, 45, 227, 93, 137, 249,
166,
- 194, 250, 209, 131, 28, 97, 201, 232, 86, 206, 190, 212, 112, 95, 100,
56,
- 43, 82, 159, 125, 168, 33, 190, 152, 112, 106, 164, 47, 59, 92, 19,
121,
- 205, 226, 213, 137, 159, 38, 232, 26, 206, 139, 20, 103, 79, 106, 180,
47,
- 55, 92, 22, 185, 206, 242, 212, 69, 159, 115, 40, 37, 222, 155, 24,
107,
- 74, 175, 119, 60, 38, 145, 218, 236, 91, 13, 251, 69, 131, 115, 33,
229,
- 216, 75, 26, 183, 75, 54, 183, 86, 246, 190, 198, 240, 82, 196, 61,
147,
- 81, 173, 252, 125, 129, 225, 160, 72, 120, 54, 162, 150, 249, 174, 194,
252,
- 81, 129, 252, 96, 65, 232, 48, 78, 148, 52, 111, 87, 108, 62, 173,
208,
- 125, 156, 33, 169, 216, 126, 218, 160, 91, 56, 59, 82, 147, 125, 173,
225,
- 189, 136, 113, 166, 164, 122, 251, 99, 3, 105, 193, 238, 208, 76, 92,
53,
- 249, 215, 2, 222, 129, 152, 96, 106, 168, 47, 62, 156, 16, 105, 204,
46,
- 213, 220, 95, 25, 248, 10, 194, 135, 17, 162, 140, 121, 165, 226, 251,
9,
- 131, 70, 225, 242, 200, 69, 150, 179, 46, 245, 220, 71, 25, 242, 138,
197,
- 167, 19, 58, 141, 211, 37, 157, 219, 41, 155, 94, 235, 120, 79, 98,
180,
- 41, 183, 94, 246, 184, 70, 242, 178, 197, 181, 147, 55, 45, 214, 157,
158,
- 233, 168, 78, 254, 180, 64, 119, 112, 38, 164, 26, 251, 75, 3, 119,
65,
- 230, 176, 74, 244, 55, 7, 86, 130, 190, 225, 176, 72, 116, 54, 167,
86,
- 250, 190, 195, 48, 81, 212, 60, 95, 81, 248, 60, 66, 145, 241, 172,
68,
- 125, 243, 97, 133, 232, 99, 14, 169, 196, 126, 211, 96, 93, 232, 57,
142,
- 146, 228, 109, 139, 109, 167, 109, 186, 173, 179, 61, 181, 209, 183, 28,
118,
- 137, 230, 230, 202, 202, 215, 23, 30, 142, 136, 100, 102, 171, 106, 255,
111,
- 0, 44, 0, 29, 192, 9, 144, 6, 236, 2, 205, 193, 149, 144, 111,
44,
- 44, 29, 221, 201, 153, 150, 234, 238, 207, 12, 84, 5, 255, 67, 0,
49,
- 192, 20, 80, 15, 124, 4, 33, 195, 88, 81, 250, 188, 67, 49, 241,
212,
- 68, 95, 115, 120, 37, 226, 155, 9, 171, 70, 255, 114, 192, 37, 144,
27,
- 44, 11, 93, 199, 121, 146, 162, 237, 185, 141, 178, 229, 181, 139, 55,
39,
- 86, 154, 190, 235, 48, 79, 84, 52, 63, 87, 80, 62, 188, 16, 113,
204,
- 36, 85, 219, 127, 27, 96, 11, 104, 7, 110, 130, 172, 97, 189, 232,
113,
- 142, 164, 100, 123, 107, 99, 111, 105, 236, 46, 205, 220, 85, 153, 255,
42,
- 192, 31, 16, 8, 12, 6, 133, 194, 227, 17, 137, 204, 102, 213, 234,
223,
- 15, 24, 4, 10, 131, 71, 33, 242, 152, 69, 170, 179, 63, 53, 208,
23,
- 28, 14, 137, 196, 102, 211, 106, 221, 239, 25, 140, 10, 229, 199, 11,
18,
- 135, 77, 162, 181, 185, 183, 50, 246, 149, 134, 239, 34, 204, 25, 149,
202,
- 239, 23, 12, 14, 133, 196, 99, 19, 105, 205, 238, 213, 140, 95, 37,
248,
- 27, 2, 139, 65, 167, 112, 122, 164, 35, 59, 89, 211, 122, 221, 227,
25,
- 137, 202, 230, 215, 10, 222, 135, 24, 98, 138, 169, 167, 62, 250, 144,
67,
- 44, 49, 221, 212, 89, 159, 122, 232, 35, 14, 153, 196, 106, 211, 111,
29,
- 236, 9, 141, 198, 229, 146, 203, 45, 151, 93, 174, 185, 188, 114, 241,
229,
- 132, 75, 35, 119, 89, 230, 186, 202, 243, 23, 5, 206, 131, 20, 97,
207,
- 104, 84, 46, 191, 92, 112, 57, 228, 18, 203, 77, 151, 117, 174, 167,
60,
- 122, 145, 227, 44, 73, 221, 246, 217, 134, 218, 226, 219, 9, 155, 70,
235,
- 114, 207, 101, 148, 43, 47, 95, 92, 56, 57, 210, 146, 221, 173, 153,
189,
- 170, 241, 191, 4, 112, 3, 100, 1, 235, 64, 79, 112, 52, 36, 23,
91,
- 78, 187, 116, 115, 103, 101, 234, 171, 15, 63, 68, 16, 51, 76, 21,
245,
- 207, 7, 20, 2, 143, 65, 164, 48, 123, 84, 35, 127, 89, 224, 58,
200,
- 19, 22, 141, 206, 229, 148, 75, 47, 119, 92, 38, 185, 218, 242, 219,
5,
- 155, 67, 43, 113, 223, 100, 88, 43, 122, 159, 99, 40, 41, 222, 158,
216,
- 104, 90, 174, 187, 60, 115, 81, 229, 252, 75, 1, 247, 64, 70, 176,
50,
- 244, 21, 135, 79, 34, 180, 25, 183, 74, 246, 183, 6, 246, 130, 198,
225,
- 146, 200, 109, 150, 173, 174, 253, 188, 65, 177, 240, 116, 68, 39, 115,
90,
- 165, 251, 59, 3, 83, 65, 253, 240, 65, 132, 48, 99, 84, 41, 255,
94,
- 192, 56, 80, 18, 188, 13, 177, 197, 180, 83, 55, 125, 214, 161, 158,
248,
- 104, 66, 174, 177, 188, 116, 113, 231, 100, 74, 171, 119, 63, 102, 144,
42,
- 236, 31, 13, 200, 5, 150, 131, 46, 225, 220, 72, 89, 246, 186, 198,
243,
- 18, 197, 205, 147, 21, 173, 207, 61, 148, 17, 175, 76, 124, 53, 225,
215,
- 8, 94, 134, 184, 98, 242, 169, 133, 190, 227, 48, 73, 212, 54, 223,
86,
- 216, 62, 218, 144, 91, 44, 59, 93, 211, 121, 157, 226, 233, 137, 142,
230,
- 228, 74, 203, 119, 23, 102, 142, 170, 228, 127, 11, 96, 7, 104, 2,
174,
- 129, 188, 96, 113, 232, 36, 78, 155, 116, 107, 103, 111, 106, 172, 47,
61,
- 220, 17, 153, 204, 106, 213, 239, 31, 12, 8, 5, 198, 131, 18, 225,
205,
- 136, 85, 166, 191, 58, 240, 19, 4, 13, 195, 69, 145, 243, 44, 69,
221,
- 243, 25, 133, 202, 227, 23, 9, 206, 134, 212, 98, 223, 105, 152, 46,
234,
- 156, 79, 41, 244, 30, 199, 72, 82, 182, 189, 182, 241, 182, 196, 118,
211,
- 102, 221, 234, 217, 143, 26, 228, 11, 11, 71, 71, 114, 178, 165, 181,
187,
- 55, 51, 86, 149, 254, 239, 0, 76, 0, 53, 192, 23, 16, 14, 140,
4,
- 101, 195, 107, 17, 239, 76, 76, 53, 245, 215, 7, 30, 130, 136, 97,
166,
- 168, 122, 254, 163, 0, 121, 192, 34, 208, 25, 156, 10, 233, 199, 14,
210,
- 132, 93, 163, 121, 185, 226, 242, 201, 133, 150, 227, 46, 201, 220, 86,
217,
- 254, 218, 192, 91, 16, 59, 76, 19, 117, 205, 231, 21, 138, 143, 39,
36,
- 26, 155, 75, 43, 119, 95, 102, 184, 42, 242, 159, 5, 168, 3, 62,
129,
- 208, 96, 92, 40, 57, 222, 146, 216, 109, 154, 173, 171, 61, 191, 81,
176,
- 60, 116, 17, 231, 76, 74, 181, 247, 55, 6, 150, 130, 238, 225, 140,
72,
- 101, 246, 171, 6, 255, 66, 192, 49, 144, 20, 108, 15, 109, 196, 45,
147,
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+ 104, 84, 46, 191, 92, 112, 57, 228, 18, 203, 77, 151, 117, 174, 167,
60,
+ 122, 145, 227, 44, 73, 221, 246, 217, 134, 218, 226, 219, 9, 155, 70,
235,
+ 114, 207, 101, 148, 43, 47, 95, 92, 56, 57, 210, 146, 221, 173, 153,
189,
+ 170, 241, 191, 4, 112, 3, 100, 1, 235, 64, 79, 112, 52, 36, 23,
91,
+ 78, 187, 116, 115, 103, 101, 234, 171, 15, 63, 68, 16, 51, 76, 21,
245,
+ 207, 7, 20, 2, 143, 65, 164, 48, 123, 84, 35, 127, 89, 224, 58,
200,
+ 19, 22, 141, 206, 229, 148, 75, 47, 119, 92, 38, 185, 218, 242, 219,
5,
+ 155, 67, 43, 113, 223, 100, 88, 43, 122, 159, 99, 40, 41, 222, 158,
216,
+ 104, 90, 174, 187, 60, 115, 81, 229, 252, 75, 1, 247, 64, 70, 176,
50,
+ 244, 21, 135, 79, 34, 180, 25, 183, 74, 246, 183, 6, 246, 130, 198,
225,
+ 146, 200, 109, 150, 173, 174, 253, 188, 65, 177, 240, 116, 68, 39, 115,
90,
+ 165, 251, 59, 3, 83, 65, 253, 240, 65, 132, 48, 99, 84, 41, 255,
94,
+ 192, 56, 80, 18, 188, 13, 177, 197, 180, 83, 55, 125, 214, 161, 158,
248,
+ 104, 66, 174, 177, 188, 116, 113, 231, 100, 74, 171, 119, 63, 102, 144,
42,
+ 236, 31, 13, 200, 5, 150, 131, 46, 225, 220, 72, 89, 246, 186, 198,
243,
+ 18, 197, 205, 147, 21, 173, 207, 61, 148, 17, 175, 76, 124, 53, 225,
215,
+ 8, 94, 134, 184, 98, 242, 169, 133, 190, 227, 48, 73, 212, 54, 223,
86,
+ 216, 62, 218, 144, 91, 44, 59, 93, 211, 121, 157, 226, 233, 137, 142,
230,
+ 228, 74, 203, 119, 23, 102, 142, 170, 228, 127, 11, 96, 7, 104, 2,
174,
+ 129, 188, 96, 113, 232, 36, 78, 155, 116, 107, 103, 111, 106, 172, 47,
61,
+ 220, 17, 153, 204, 106, 213, 239, 31, 12, 8, 5, 198, 131, 18, 225,
205,
+ 136, 85, 166, 191, 58, 240, 19, 4, 13, 195, 69, 145, 243, 44, 69,
221,
+ 243, 25, 133, 202, 227, 23, 9, 206, 134, 212, 98, 223, 105, 152, 46,
234,
+ 156, 79, 41, 244, 30, 199, 72, 82, 182, 189, 182, 241, 182, 196, 118,
211,
+ 102, 221, 234, 217, 143, 26, 228, 11, 11, 71, 71, 114, 178, 165, 181,
187,
+ 55, 51, 86, 149, 254, 239, 0, 76, 0, 53, 192, 23, 16, 14, 140,
4,
+ 101, 195, 107, 17, 239, 76, 76, 53, 245, 215, 7, 30, 130, 136, 97,
166,
+ 168, 122, 254, 163, 0, 121, 192, 34, 208, 25, 156, 10, 233, 199, 14,
210,
+ 132, 93, 163, 121, 185, 226, 242, 201, 133, 150, 227, 46, 201, 220, 86,
217,
+ 254, 218, 192, 91, 16, 59, 76, 19, 117, 205, 231, 21, 138, 143, 39,
36,
+ 26, 155, 75, 43, 119, 95, 102, 184, 42, 242, 159, 5, 168, 3, 62,
129,
+ 208, 96, 92, 40, 57, 222, 146, 216, 109, 154, 173, 171, 61, 191, 81,
176,
+ 60, 116, 17, 231, 76, 74, 181, 247, 55, 6, 150, 130, 238, 225, 140,
72,
+ 101, 246, 171, 6, 255, 66, 192, 49, 144, 20, 108, 15, 109, 196, 45,
147,
+ 93, 173, 249, 189, 130, 241, 161, 132, 120, 99, 98, 169, 233, 190, 206,
240,
+ 84, 68, 63, 115, 80, 37, 252, 27, 1, 203, 64, 87, 112, 62, 164,
16,
+ 123, 76, 35, 117, 217, 231, 26, 202, 139, 23, 39, 78, 154, 180, 107,
55,
+ 111, 86, 172, 62, 253, 208, 65, 156, 48, 105, 212, 46, 223, 92, 88,
57,
+ 250, 146, 195, 45, 145, 221, 172, 89, 189, 250, 241, 131, 4, 97, 195,
104,
+ 81, 238, 188, 76, 113, 245, 228, 71, 11, 114, 135, 101, 162, 171, 57,
191,
+ 82, 240, 61, 132, 17, 163, 76, 121, 245, 226, 199, 9, 146, 134, 237,
162,
+ 205, 185, 149, 178, 239, 53, 140, 23, 37, 206, 155, 20, 107, 79, 111,
116,
+ 44, 39, 93, 218, 185, 155, 50, 235, 85, 143, 127, 36, 32, 27, 88,
11,
+ 122, 135, 99, 34, 169, 217, 190, 218, 240, 91, 4, 59, 67, 83, 113,
253,
+ 228, 65, 139, 112, 103, 100, 42, 171, 95, 63, 120, 16, 34, 140, 25,
165,
+ 202, 251, 23, 3, 78, 129, 244, 96, 71, 104, 50, 174, 149, 188, 111,
49,
+ 236, 20, 77, 207, 117, 148, 39, 47, 90, 156, 59, 41, 211, 94, 221,
248,
+ 89, 130, 186, 225, 179, 8, 117, 198, 167, 18, 250, 141, 131, 37, 161,
219,
+ 56, 91, 82, 187, 125, 179, 97, 181, 232, 119, 14, 166, 132, 122, 227,
99,
+ 9, 233, 198, 206, 210, 212, 93, 159, 121, 168, 34, 254, 153, 128, 106,
224,
+ 47, 8, 28, 6, 137, 194, 230, 209, 138, 220, 103, 25, 234, 138, 207,
39,
+ 20, 26, 143, 75, 36, 55, 91, 86, 187, 126, 243, 96, 69, 232, 51,
14,
+ 149, 196, 111, 19, 108, 13, 237, 197, 141, 147, 37, 173, 219, 61, 155,
81,
+ 171, 124, 127, 97, 224, 40, 72, 30, 182, 136, 118, 230, 166, 202, 250,
215,
+ 3, 30, 129, 200, 96, 86, 168, 62, 254, 144, 64, 108, 48, 45, 212,
29,
+ 159, 73, 168, 54, 254, 150, 192, 110, 208, 44, 92, 29, 249, 201, 130,
214,
+ 225, 158, 200, 104, 86, 174, 190, 252, 112, 65, 228, 48, 75, 84, 55,
127,
+ 86, 160, 62, 248, 16, 66, 140, 49, 165, 212, 123, 31, 99, 72, 41,
246,
+ 158, 198, 232, 82, 206, 189, 148, 113, 175, 100, 124, 43, 97, 223, 104,
88,
+ 46, 186, 156, 115, 41, 229, 222, 203, 24, 87, 74, 190, 183, 48, 118,
148,
+ 38, 239, 90, 204, 59, 21, 211, 79, 29, 244, 9, 135, 70, 226, 178,
201,
+ 181, 150, 247, 46, 198, 156, 82, 233, 253, 142, 193, 164, 80, 123, 124,
35,
+ 97, 217, 232, 90, 206, 187, 20, 115, 79, 101, 244, 43, 7, 95, 66,
184,
+ 49, 178, 148, 117, 175, 103, 60, 42, 145, 223, 44, 88, 29, 250, 137,
131,
+ 38, 225, 218, 200, 91, 22, 187, 78, 243, 116, 69, 231, 115, 10, 165,
199,
+ 59, 18, 147, 77, 173, 245, 189, 135, 49, 162, 148, 121, 175, 98, 252,
41,
+ 129, 222, 224, 88, 72, 58, 182, 147, 54, 237, 214, 205, 158, 213, 168,
95,
+ 62, 184, 16, 114, 140, 37, 165, 219, 59, 27, 83, 75, 125, 247, 97,
134,
+ 168, 98, 254, 169, 128, 126, 224, 32, 72, 24, 54, 138, 150, 231, 46,
202,
+ 156, 87, 41, 254, 158, 192, 104, 80, 46, 188, 28, 113, 201, 228, 86,
203,
+ 126, 215, 96, 94, 168, 56, 126, 146, 160, 109, 184, 45, 178, 157, 181,
169,
+ 183, 62, 246, 144, 70, 236, 50, 205, 213, 149, 159, 47, 40, 28, 30,
137,
+ 200, 102, 214, 170, 222, 255, 24, 64, 10, 176, 7, 52, 2, 151, 65,
174,
+ 176, 124, 116, 33, 231, 88, 74, 186, 183, 51, 54, 149, 214, 239, 30,
204,
+ 8, 85, 198, 191, 18, 240, 13, 132, 5, 163, 67, 57, 241, 210, 196,
93,
+ 147, 121, 173, 226, 253, 137, 129, 166, 224, 122, 200, 35, 22, 153, 206,
234,
+ 212, 79, 31, 116, 8, 39, 70, 154, 178, 235, 53, 143, 87, 36, 62,
155,
+ 80, 107, 124, 47, 97, 220, 40, 89, 222, 186, 216, 115, 26, 165, 203,
59,
+ 23, 83, 78, 189, 244, 113, 135, 100, 98, 171, 105, 191, 110, 240, 44,
68,
+ 29, 243, 73, 133, 246, 227, 6, 201, 194, 214, 209, 158, 220, 104, 89,
238,
+ 186, 204, 115, 21, 229, 207, 11, 20, 7, 79, 66, 180, 49, 183, 84,
118,
+ 191, 102, 240, 42, 196, 31, 19, 72, 13, 246, 133, 134, 227, 34, 201,
217,
+ 150, 218, 238, 219, 12, 91, 69, 251, 115, 3, 101, 193, 235, 16, 79,
76,
+ 52, 53, 215, 87, 30, 190, 136, 112, 102, 164, 42, 251, 95, 3, 120,
1,
+ 226, 128, 73, 160, 54, 248, 22, 194, 142, 209, 164, 92, 123, 121, 227,
98,
+ 201, 233, 150, 206, 238, 212, 76, 95, 117, 248, 39, 2, 154, 129, 171,
32,
+ 127, 88, 32, 58, 152, 19, 42, 141, 223, 37, 152, 27, 42, 139, 95,
39,
+ 120, 26, 162, 139, 57, 167, 82, 250, 189, 131, 49, 161, 212, 120, 95,
98,
+ 184, 41, 178, 158, 245, 168, 71, 62, 178, 144, 117, 172, 39, 61, 218,
145,
+ 155, 44, 107, 93, 239, 121, 140, 34, 229, 217, 139, 26, 231, 75, 10,
183,
+ 71, 54, 178, 150, 245, 174, 199, 60, 82, 145, 253, 172, 65, 189, 240,
113,
+ 132, 36, 99, 91, 105, 251, 110, 195, 108, 81, 237, 252, 77, 129, 245,
160,
+ 71, 56, 50, 146, 149, 173, 175, 61, 188, 17, 177, 204, 116, 85, 231,
127,
+ 10, 160, 7, 56, 2, 146, 129, 173, 160, 125, 184, 33, 178, 152, 117,
170,
+ 167, 63, 58, 144, 19, 44, 13, 221, 197, 153, 147, 42, 237, 223, 13,
152,
+ 5, 170, 131, 63, 33, 208, 24, 92, 10, 185, 199, 50, 210, 149, 157,
175,
+ 41, 188, 30, 241, 200, 68, 86, 179, 126, 245, 224, 71, 8, 50, 134,
149,
+ 162, 239, 57, 140, 18, 229, 205, 139, 21, 167, 79, 58, 180, 19, 55,
77,
+ 214, 181, 158, 247, 40, 70, 158, 178, 232, 117, 142, 167, 36, 122, 155,
99,
+ 43, 105, 223, 110, 216, 44, 90, 157, 251, 41, 131, 94, 225, 248, 72,
66,
+ 182, 177, 182, 244, 118, 199, 102, 210, 170, 221, 191, 25, 176, 10, 244,
7,
+ 7, 66, 130, 177, 161, 180, 120, 119, 98, 166, 169, 186, 254, 243, 0,
69,
+ 192, 51, 16, 21, 204, 15, 21, 196, 15, 19, 68, 13, 243, 69, 133,
243,
+ 35, 5, 217, 195, 26, 209, 203, 28, 87, 73, 254, 182, 192, 118, 208,
38,
+ 220, 26, 217, 203, 26, 215, 75, 30, 183, 72, 118, 182, 166, 246, 250,
198,
+ 195, 18, 209, 205, 156, 85, 169, 255, 62, 192, 16, 80, 12, 60, 5,
209,
+ 195, 28, 81, 201, 252, 86, 193, 254, 208, 64, 92, 48, 57, 212, 18,
223,
+ 77, 152, 53, 170, 151, 63, 46, 144, 28, 108, 9, 237, 198, 205, 146,
213,
+ 173, 159, 61, 168, 17, 190, 140, 112, 101, 228, 43, 11, 95, 71, 120,
50,
+ 162, 149, 185, 175, 50, 252, 21, 129, 207, 32, 84, 24, 63, 74, 144,
55,
+ 44, 22, 157, 206, 233, 148, 78, 239, 116, 76, 39, 117, 218, 167, 27,
58,
+ 139, 83, 39, 125, 218, 161, 155, 56, 107, 82, 175, 125, 188, 33, 177,
216,
+ 116, 90, 167, 123, 58, 163, 83, 57, 253, 210, 193, 157, 144, 105, 172,
46,
+ 253, 220, 65, 153, 240, 106, 196, 47, 19, 92, 13, 249, 197, 130, 211,
33,
+ 157, 216, 105, 154, 174, 235, 60, 79, 81, 244, 60, 71, 81, 242, 188,
69,
+ 177, 243, 52, 69, 215, 115, 30, 165, 200, 123, 22, 163, 78, 249, 244,
66,
+ 199, 113, 146, 164, 109, 187, 109, 179, 109, 181, 237, 183, 13, 182, 133,
182,
227, 54, 201, 214, 214, 222, 222, 216, 88, 90, 186, 187, 51, 51, 255,
63 )
random_mask_vec8 = numpy.array(random_mask_tuple, numpy.uint8)
-
diff --git a/gr-digital/python/digital/ofdm_txrx.py
b/gr-digital/python/digital/ofdm_txrx.py
index b04c42c..1c3bcc3 100644
--- a/gr-digital/python/digital/ofdm_txrx.py
+++ b/gr-digital/python/digital/ofdm_txrx.py
@@ -1,23 +1,23 @@
#
# Copyright 2013 Free Software Foundation, Inc.
-#
+#
# This file is part of GNU Radio
-#
+#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
-#
+#
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
-#
+#
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
-#
+#
"""
OFDM Transmitter / Receiver hier blocks.
@@ -116,7 +116,7 @@ def _get_constellation(bps):
exit(1)
class ofdm_tx(gr.hier_block2):
- """ Hierarchical block for OFDM modulation.
+ """Hierarchical block for OFDM modulation.
The input is a byte stream (unsigned char) and the
output is the complex modulated signal at baseband.
@@ -130,13 +130,16 @@ class ofdm_tx(gr.hier_block2):
pilot_symbols: The pilot symbols.
bps_header: Bits per symbol (header).
bps_payload: Bits per symbol (payload).
- sync_word1: The first sync preamble symbol. This has to be with zeros on
alternating carriers.
- Used for fine and coarse frequency offset and timing
estimation.
- sync_word2: The second sync preamble symbol. This has to be filled
entirely. Also used for
- coarse frequency offset and channel estimation.
+ sync_word1: The first sync preamble symbol. This has to be with
+ | zeros on alternating carriers. Used for fine and
+ | coarse frequency offset and timing estimation.
+ sync_word2: The second sync preamble symbol. This has to be filled
+ | entirely. Also used for coarse frequency offset and
+ | channel estimation.
rolloff: The rolloff length in samples. Must be smaller than the CP.
debug_log: Write output into log files (Warning: creates lots of data!)
scramble_bits: Activates the scramblers (set this to True unless debugging)
+
"""
def __init__(self, fft_len=_def_fft_len, cp_len=_def_cp_len,
packet_length_tag_key=_def_packet_length_tag_key,
@@ -259,7 +262,7 @@ class ofdm_tx(gr.hier_block2):
class ofdm_rx(gr.hier_block2):
- """ Hierarchical block for OFDM demodulation.
+ """Hierarchical block for OFDM demodulation.
The input is a complex baseband signal (e.g. from a UHD source).
The detected packets are output as a stream of packed bits on the output.
@@ -274,10 +277,12 @@ class ofdm_rx(gr.hier_block2):
pilot_symbols: The pilot symbols.
bps_header: Bits per symbol (header).
bps_payload: Bits per symbol (payload).
- sync_word1: The first sync preamble symbol. This has to be with zeros on
alternating carriers.
- Used for fine and coarse frequency offset and timing
estimation.
- sync_word2: The second sync preamble symbol. This has to be filled
entirely. Also used for
- coarse frequency offset and channel estimation.
+ sync_word1: The first sync preamble symbol. This has to be with
+ | zeros on alternating carriers. Used for fine and
+ | coarse frequency offset and timing estimation.
+ sync_word2: The second sync preamble symbol. This has to be filled
+ | entirely. Also used for coarse frequency offset and
+ | channel estimation.
"""
def __init__(self, fft_len=_def_fft_len, cp_len=_def_cp_len,
frame_length_tag_key=_def_frame_length_tag_key,
@@ -371,7 +376,7 @@ class ofdm_rx(gr.hier_block2):
occupied_carriers, 1,
packet_length_tag_key,
frame_length_tag_key,
- packet_num_tag_key,
+ packet_nu_tag_key,
bps_header,
bps_payload,
scramble_header=scramble_bits
@@ -447,5 +452,3 @@ class ofdm_rx(gr.hier_block2):
self.connect(payload_demod, blocks.file_sink(1,
'post-payload-demod.dat'))
self.connect(payload_pack, blocks.file_sink(1,
'post-payload-pack.dat'))
self.connect(crc, blocks.file_sink(1,
'post-payload-crc.dat'))
-
-
diff --git a/gr-digital/python/digital/psk_constellations.py
b/gr-digital/python/digital/psk_constellations.py
index 3f28ca5..d2db4e8 100755
--- a/gr-digital/python/digital/psk_constellations.py
+++ b/gr-digital/python/digital/psk_constellations.py
@@ -114,9 +114,9 @@ sd_psk_2_1 = sd_psk_2_0x1
def psk_4_0x0_0_1():
'''
- 10 | 11
- -------
- 00 | 01
+ | 10 | 11
+ | -------
+ | 00 | 01
'''
const_points = [-1-1j, 1-1j,
-1+1j, 1+1j]
@@ -127,9 +127,9 @@ psk_4_0 = psk_4
def psk_4_0x1_0_1():
'''
- 11 | 10
- -------
- 01 | 00
+ | 11 | 10
+ | -------
+ | 01 | 00
'''
k = 0x1
pi = [0, 1]
@@ -138,9 +138,9 @@ psk_4_1 = psk_4_0x1_0_1
def psk_4_0x2_0_1():
'''
- 00 | 01
- -------
- 10 | 11
+ | 00 | 01
+ | -------
+ | 10 | 11
'''
k = 0x2
pi = [0, 1]
@@ -149,9 +149,9 @@ psk_4_2 = psk_4_0x2_0_1
def psk_4_0x3_0_1():
'''
- 01 | 00
- -------
- 11 | 10
+ | 01 | 00
+ | -------
+ | 11 | 10
'''
k = 0x3
pi = [0, 1]
@@ -160,9 +160,9 @@ psk_4_3 = psk_4_0x3_0_1
def psk_4_0x0_1_0():
'''
- 01 | 11
- -------
- 00 | 10
+ | 01 | 11
+ | -------
+ | 00 | 10
'''
k = 0x0
pi = [1, 0]
@@ -171,9 +171,9 @@ psk_4_4 = psk_4_0x0_1_0
def psk_4_0x1_1_0():
'''
- 00 | 10
- -------
- 01 | 11
+ | 00 | 10
+ | -------
+ | 01 | 11
'''
k = 0x1
pi = [1, 0]
@@ -182,9 +182,9 @@ psk_4_5 = psk_4_0x1_1_0
def psk_4_0x2_1_0():
'''
- 11 | 01
- -------
- 10 | 00
+ | 11 | 01
+ | -------
+ | 10 | 00
'''
k = 0x2
pi = [1, 0]
@@ -193,9 +193,9 @@ psk_4_6 = psk_4_0x2_1_0
def psk_4_0x3_1_0():
'''
- 10 | 00
- -------
- 11 | 01
+ | 10 | 00
+ | -------
+ | 11 | 01
'''
k = 0x3
pi = [1, 0]
@@ -210,9 +210,9 @@ psk_4_7 = psk_4_0x3_1_0
def sd_psk_4_0x0_0_1(x, Es=1):
'''
- 10 | 11
- -------
- 00 | 01
+ | 10 | 11
+ | -------
+ | 00 | 01
'''
x_re = x.real
x_im = x.imag
@@ -223,9 +223,9 @@ sd_psk_4_0 = sd_psk_4
def sd_psk_4_0x1_0_1(x, Es=1):
'''
- 11 | 10
- -------
- 01 | 00
+ | 11 | 10
+ | -------
+ | 01 | 00
'''
x_re = x.real
x_im = x.imag
@@ -235,9 +235,9 @@ sd_psk_4_1 = sd_psk_4_0x1_0_1
def sd_psk_4_0x2_0_1(x, Es=1):
'''
- 00 | 01
- -------
- 10 | 11
+ | 00 | 01
+ | -------
+ | 10 | 11
'''
x_re = x.real
x_im = x.imag
@@ -247,9 +247,9 @@ sd_psk_4_2 = sd_psk_4_0x2_0_1
def sd_psk_4_0x3_0_1(x, Es=1):
'''
- 01 | 00
- -------
- 11 | 10
+ | 01 | 00
+ | -------
+ | 11 | 10
'''
x_re = x.real
x_im = x.imag
@@ -259,9 +259,9 @@ sd_psk_4_3 = sd_psk_4_0x3_0_1
def sd_psk_4_0x0_1_0(x, Es=1):
'''
- 01 | 11
- -------
- 00 | 10
+ | 01 | 11
+ | -------
+ | 00 | 10
'''
x_re = x.real
x_im = x.imag
@@ -271,9 +271,9 @@ sd_psk_4_4 = sd_psk_4_0x0_1_0
def sd_psk_4_0x1_1_0(x, Es=1):
'''
- 00 | 10
- -------
- 01 | 11
+ | 00 | 10
+ | -------
+ | 01 | 11
'''
x_re = x.real
x_im = x.imag
@@ -284,9 +284,9 @@ sd_psk_4_5 = sd_psk_4_0x1_1_0
def sd_psk_4_0x2_1_0(x, Es=1):
'''
- 11 | 01
- -------
- 10 | 00
+ | 11 | 01
+ | -------
+ | 10 | 00
'''
x_re = x.real
x_im = x.imag
@@ -296,9 +296,9 @@ sd_psk_4_6 = sd_psk_4_0x2_1_0
def sd_psk_4_0x3_1_0(x, Es=1):
'''
- 10 | 00
- -------
- 11 | 01
+ | 10 | 00
+ | -------
+ | 11 | 01
'''
x_re = x.real
x_im = x.imag
diff --git a/gr-digital/python/digital/qam_constellations.py
b/gr-digital/python/digital/qam_constellations.py
index ed86d7e..ab58916 100755
--- a/gr-digital/python/digital/qam_constellations.py
+++ b/gr-digital/python/digital/qam_constellations.py
@@ -99,13 +99,13 @@ For 16QAM:
def qam_16_0x0_0_1_2_3():
'''
- 0010 0110 | 1110 1010
-
- 0011 0111 | 1111 1011
- -----------------------
- 0001 0101 | 1101 1001
-
- 0000 0100 | 1100 1000
+ | 0010 0110 | 1110 1010
+ |
+ | 0011 0111 | 1111 1011
+ | -----------------------
+ | 0001 0101 | 1101 1001
+ |
+ | 0000 0100 | 1100 1000
'''
const_points = [-3-3j, -1-3j, 1-3j, 3-3j,
-3-1j, -1-1j, 1-1j, 3-1j,
@@ -121,13 +121,13 @@ qam_16_0 = qam_16
def qam_16_0x1_0_1_2_3():
'''
- 0011 0111 | 1111 1011
-
- 0010 0110 | 1110 1010
- -----------------------
- 0000 0100 | 1100 1000
-
- 0001 0101 | 1101 1001
+ | 0011 0111 | 1111 1011
+ |
+ | 0010 0110 | 1110 1010
+ | -----------------------
+ | 0000 0100 | 1100 1000
+ |
+ | 0001 0101 | 1101 1001
'''
k = 0x1
pi = [0, 1, 2, 3]
@@ -136,13 +136,13 @@ qam_16_1 = qam_16_0x1_0_1_2_3
def qam_16_0x2_0_1_2_3():
'''
- 0000 0100 | 1100 1000
-
- 0001 0101 | 1101 1001
- -----------------------
- 0011 0111 | 1111 1011
-
- 0010 0110 | 1110 1010
+ | 0000 0100 | 1100 1000
+ |
+ | 0001 0101 | 1101 1001
+ | -----------------------
+ | 0011 0111 | 1111 1011
+ |
+ | 0010 0110 | 1110 1010
'''
k = 0x2
pi = [0, 1, 2, 3]
@@ -151,13 +151,13 @@ qam_16_2 = qam_16_0x2_0_1_2_3
def qam_16_0x3_0_1_2_3():
'''
- 0001 0101 | 1101 1001
-
- 0000 0100 | 1100 1000
- -----------------------
- 0010 0110 | 1110 1010
-
- 0011 0111 | 1111 1011
+ | 0001 0101 | 1101 1001
+ |
+ | 0000 0100 | 1100 1000
+ | -----------------------
+ | 0010 0110 | 1110 1010
+ |
+ | 0011 0111 | 1111 1011
'''
k = 0x3
pi = [0, 1, 2, 3]
@@ -167,13 +167,13 @@ qam_16_3 = qam_16_0x3_0_1_2_3
def qam_16_0x0_1_0_2_3():
'''
- 0001 0101 | 1101 1001
-
- 0011 0111 | 1111 1011
- -----------------------
- 0010 0110 | 1110 1010
-
- 0000 0100 | 1100 1000
+ | 0001 0101 | 1101 1001
+ |
+ | 0011 0111 | 1111 1011
+ | -----------------------
+ | 0010 0110 | 1110 1010
+ |
+ | 0000 0100 | 1100 1000
'''
k = 0x0
pi = [1, 0, 2, 3]
@@ -182,13 +182,13 @@ qam_16_4 = qam_16_0x0_1_0_2_3
def qam_16_0x1_1_0_2_3():
'''
- 0000 0100 | 1100 1000
-
- 0010 0110 | 1110 1010
- -----------------------
- 0011 0111 | 1111 1011
-
- 0001 0101 | 1101 1001
+ | 0000 0100 | 1100 1000
+ |
+ | 0010 0110 | 1110 1010
+ | -----------------------
+ | 0011 0111 | 1111 1011
+ |
+ | 0001 0101 | 1101 1001
'''
k = 0x1
pi = [1, 0, 2, 3]
@@ -197,13 +197,13 @@ qam_16_5 = qam_16_0x1_1_0_2_3
def qam_16_0x2_1_0_2_3():
'''
- 0011 0111 | 1111 1011
-
- 0001 0101 | 1101 1001
- -----------------------
- 0000 0100 | 1100 1000
-
- 0010 0110 | 1110 1010
+ | 0011 0111 | 1111 1011
+ |
+ | 0001 0101 | 1101 1001
+ | -----------------------
+ | 0000 0100 | 1100 1000
+ |
+ | 0010 0110 | 1110 1010
'''
k = 0x2
pi = [1, 0, 2, 3]
@@ -212,13 +212,13 @@ qam_16_6 = qam_16_0x2_1_0_2_3
def qam_16_0x3_1_0_2_3():
'''
- 0010 0110 | 1110 1010
-
- 0000 0100 | 1100 1000
- -----------------------
- 0001 0101 | 1101 1001
-
- 0011 0111 | 1111 1011
+ | 0010 0110 | 1110 1010
+ |
+ | 0000 0100 | 1100 1000
+ | -----------------------
+ | 0001 0101 | 1101 1001
+ |
+ | 0011 0111 | 1111 1011
'''
k = 0x3
pi = [1, 0, 2, 3]
@@ -230,15 +230,15 @@ qam_16_7 = qam_16_0x3_1_0_2_3
def sd_qam_16_0x0_0_1_2_3(x, Es=1):
'''
- Soft bit LUT generator for constellation:
-
- 0010 0110 | 1110 1010
-
- 0011 0111 | 1111 1011
- -----------------------
- 0001 0101 | 1101 1001
-
- 0000 0100 | 1100 1000
+ | Soft bit LUT generator for constellation:
+ |
+ | 0010 0110 | 1110 1010
+ |
+ | 0011 0111 | 1111 1011
+ | -----------------------
+ | 0001 0101 | 1101 1001
+ |
+ | 0000 0100 | 1100 1000
'''
dist = Es*numpy.sqrt(2)
@@ -276,15 +276,15 @@ sd_qam_16_0 = sd_qam_16
def sd_qam_16_0x1_0_1_2_3(x, Es=1):
'''
- Soft bit LUT generator for constellation:
-
- 0011 0111 | 1111 1011
-
- 0010 0110 | 1110 1010
- -----------------------
- 0000 0100 | 1100 1000
-
- 0001 0101 | 1101 1001
+ | Soft bit LUT generator for constellation:
+ |
+ | 0011 0111 | 1111 1011
+ |
+ | 0010 0110 | 1110 1010
+ | -----------------------
+ | 0000 0100 | 1100 1000
+ |
+ | 0001 0101 | 1101 1001
'''
x_re = 3*x.real
x_im = 3*x.imag
@@ -311,15 +311,15 @@ sd_qam_16_1 = sd_qam_16_0x1_0_1_2_3
def sd_qam_16_0x2_0_1_2_3(x, Es=1):
'''
- Soft bit LUT generator for constellation:
-
- 0000 0100 | 1100 1000
-
- 0001 0101 | 1101 1001
- -----------------------
- 0011 0111 | 1111 1011
-
- 0010 0110 | 1110 1010
+ | Soft bit LUT generator for constellation:
+ |
+ | 0000 0100 | 1100 1000
+ |
+ | 0001 0101 | 1101 1001
+ | -----------------------
+ | 0011 0111 | 1111 1011
+ |
+ | 0010 0110 | 1110 1010
'''
x_re = 3*x.real
@@ -347,15 +347,15 @@ sd_qam_16_2 = sd_qam_16_0x2_0_1_2_3
def sd_qam_16_0x3_0_1_2_3(x, Es=1):
'''
- Soft bit LUT generator for constellation:
-
- 0001 0101 | 1101 1001
-
- 0000 0100 | 1100 1000
- -----------------------
- 0010 0110 | 1110 1010
-
- 0011 0111 | 1111 1011
+ | Soft bit LUT generator for constellation:
+ |
+ | 0001 0101 | 1101 1001
+ |
+ | 0000 0100 | 1100 1000
+ | -----------------------
+ | 0010 0110 | 1110 1010
+ |
+ | 0011 0111 | 1111 1011
'''
x_re = 3*x.real
x_im = 3*x.imag
@@ -382,15 +382,15 @@ sd_qam_16_3 = sd_qam_16_0x3_0_1_2_3
def sd_qam_16_0x0_1_0_2_3(x, Es=1):
'''
- Soft bit LUT generator for constellation:
-
- 0001 0101 | 1101 1001
-
- 0011 0111 | 1111 1011
- -----------------------
- 0010 0110 | 1110 1010
-
- 0000 0100 | 1100 1000
+ | Soft bit LUT generator for constellation:
+ |
+ | 0001 0101 | 1101 1001
+ |
+ | 0011 0111 | 1111 1011
+ | -----------------------
+ | 0010 0110 | 1110 1010
+ |
+ | 0000 0100 | 1100 1000
'''
x_re = 3*x.real
x_im = 3*x.imag
@@ -417,15 +417,15 @@ sd_qam_16_4 = sd_qam_16_0x0_1_0_2_3
def sd_qam_16_0x1_1_0_2_3(x, Es=1):
'''
- Soft bit LUT generator for constellation:
-
- 0000 0100 | 1100 1000
-
- 0010 0110 | 1110 1010
- -----------------------
- 0011 0111 | 1111 1011
-
- 0001 0101 | 1101 1001
+ | Soft bit LUT generator for constellation:
+ |
+ | 0000 0100 | 1100 1000
+ |
+ | 0010 0110 | 1110 1010
+ | -----------------------
+ | 0011 0111 | 1111 1011
+ |
+ | 0001 0101 | 1101 1001
'''
x_re = 3*x.real
x_im = 3*x.imag
@@ -452,15 +452,15 @@ sd_qam_16_5 = sd_qam_16_0x1_1_0_2_3
def sd_qam_16_0x2_1_0_2_3(x, Es=1):
'''
- Soft bit LUT generator for constellation:
-
- 0011 0111 | 1111 1011
-
- 0001 0101 | 1101 1001
- -----------------------
- 0000 0100 | 1100 1000
-
- 0010 0110 | 1110 1010
+ | Soft bit LUT generator for constellation:
+ |
+ | 0011 0111 | 1111 1011
+ |
+ | 0001 0101 | 1101 1001
+ | -----------------------
+ | 0000 0100 | 1100 1000
+ |
+ | 0010 0110 | 1110 1010
'''
x_re = 3*x.real
x_im = 3*x.imag
@@ -487,15 +487,15 @@ sd_qam_16_6 = sd_qam_16_0x2_1_0_2_3
def sd_qam_16_0x3_1_0_2_3(x, Es=1):
'''
- Soft bit LUT generator for constellation:
-
- 0010 0110 | 1110 1010
-
- 0000 0100 | 1100 1000
- -----------------------
- 0001 0101 | 1101 1001
-
- 0011 0111 | 1111 1011
+ | Soft bit LUT generator for constellation:
+ |
+ | 0010 0110 | 1110 1010
+ |
+ | 0000 0100 | 1100 1000
+ | -----------------------
+ | 0001 0101 | 1101 1001
+ |
+ | 0011 0111 | 1111 1011
'''
x_re = 3*x.real
x_im = 3*x.imag
diff --git a/gr-digital/python/digital/soft_dec_lut_gen.py
b/gr-digital/python/digital/soft_dec_lut_gen.py
index 5bea27f..f517277 100644
--- a/gr-digital/python/digital/soft_dec_lut_gen.py
+++ b/gr-digital/python/digital/soft_dec_lut_gen.py
@@ -23,60 +23,61 @@
import numpy
def soft_dec_table_generator(soft_dec_gen, prec, Es=1):
- '''Builds a LUT that is a list of tuples. The tuple represents the
- soft decisions for the constellation/bit mapping at any given
- point in the complex space, (x,y).
-
- The table is built to a precision specified by the 'prec'
- argument. There are (2x2)^prec samples in the sample space, so we
- get the precision of 2^prec samples in both the real and imaginary
- axes.
-
- The space is represented where index 0 is the bottom left corner
- and the maximum index is the upper left. The table index for a
- surface space with 4 bits of precision looks like the following:
-
- 240 241 242 243 244 245 246 247 | 248 249 250 251 252 253 254 255
- 224 225 226 227 228 229 230 231 | 232 233 234 235 236 237 238 239
- 208 209 210 211 212 213 214 215 | 216 217 218 219 220 221 222 223
- 192 193 194 195 196 197 198 199 | 200 201 202 203 204 205 206 207
- 176 177 178 179 180 181 182 183 | 184 185 186 187 188 189 190 191
- 160 161 162 163 164 165 166 167 | 168 169 170 171 172 173 174 175
- 144 145 146 147 148 149 150 151 | 152 153 154 155 156 157 158 159
- 128 129 130 131 132 133 134 135 | 136 137 138 139 140 141 142 143
- -----------------------------------------------------------------
- 112 113 114 115 116 117 118 119 | 120 121 122 123 124 125 126 127
- 96 97 98 99 100 101 102 103 | 104 105 106 107 108 109 110 111
- 80 81 82 83 84 85 86 87 | 88 89 90 91 92 93 94 95
- 64 65 66 67 68 69 70 71 | 72 73 74 75 76 77 78 79
- 48 49 50 51 52 53 54 55 | 56 57 58 59 60 61 62 63
- 32 33 34 35 36 37 38 39 | 40 41 42 43 44 45 46 47
- 16 17 18 19 20 21 22 23 | 24 25 26 27 28 29 30 31
- 0 1 2 3 4 5 6 7 | 8 9 10 11 12 13 14 15
-
- We then calculate coordinates from -1 to 1 with 2^prec points for
- both the x and y axes. We then sample starting at (-1, -1) and
- move left to right on the x-axis and then move up a row on the
- y-axis. For every point in this sampled space, we calculate the
- soft decisions for the given constellation/mapping. This is done
- by passing in the function 'soft_dec_gen' as an argument to this
- function. This takes in the x/y coordinates and outputs the soft
- decisions. These soft decisions are stored into the list at the
- index from the above table as a tuple.
-
- The function 'calc_from_table' takes in a point and reverses this
- operation. It converts the point from the coordinates (-1,-1) to
- (1,1) into an index value in the table and returns the tuple of
- soft decisions at that index.
-
- Es is the maximum energy per symbol. This is passed to the
- function to provide the bounds when calling the generator function
- since they don't know how the constellation was normalized. Using
- the (maximum) energy per symbol for constellation allows us to
- provide any scaling of the constellation (normalized to sum to 1,
- normalized so the outside points sit on +/-1, etc.) but still
- calculate the soft decisions as we would given the full
- constellation.
+ '''
+ | Builds a LUT that is a list of tuples. The tuple represents the
+ | soft decisions for the constellation/bit mapping at any given
+ | point in the complex space, (x,y).
+ |
+ | The table is built to a precision specified by the 'prec'
+ | argument. There are (2x2)^prec samples in the sample space, so we
+ | get the precision of 2^prec samples in both the real and imaginary
+ | axes.
+ |
+ | The space is represented where index 0 is the bottom left corner
+ | and the maximum index is the upper left. The table index for a
+ | surface space with 4 bits of precision looks like the following:
+ |
+ | 240 241 242 243 244 245 246 247 | 248 249 250 251 252 253 254 255
+ | 224 225 226 227 228 229 230 231 | 232 233 234 235 236 237 238 239
+ | 208 209 210 211 212 213 214 215 | 216 217 218 219 220 221 222 223
+ | 192 193 194 195 196 197 198 199 | 200 201 202 203 204 205 206 207
+ | 176 177 178 179 180 181 182 183 | 184 185 186 187 188 189 190 191
+ | 160 161 162 163 164 165 166 167 | 168 169 170 171 172 173 174 175
+ | 144 145 146 147 148 149 150 151 | 152 153 154 155 156 157 158 159
+ | 128 129 130 131 132 133 134 135 | 136 137 138 139 140 141 142 143
+ | -----------------------------------------------------------------
+ | 112 113 114 115 116 117 118 119 | 120 121 122 123 124 125 126 127
+ | 96 97 98 99 100 101 102 103 | 104 105 106 107 108 109 110 111
+ | 80 81 82 83 84 85 86 87 | 88 89 90 91 92 93 94 95
+ | 64 65 66 67 68 69 70 71 | 72 73 74 75 76 77 78 79
+ | 48 49 50 51 52 53 54 55 | 56 57 58 59 60 61 62 63
+ | 32 33 34 35 36 37 38 39 | 40 41 42 43 44 45 46 47
+ | 16 17 18 19 20 21 22 23 | 24 25 26 27 28 29 30 31
+ | 0 1 2 3 4 5 6 7 | 8 9 10 11 12 13 14 15
+ |
+ | We then calculate coordinates from -1 to 1 with 2^prec points for
+ | both the x and y axes. We then sample starting at (-1, -1) and
+ | move left to right on the x-axis and then move up a row on the
+ | y-axis. For every point in this sampled space, we calculate the
+ | soft decisions for the given constellation/mapping. This is done
+ | by passing in the function 'soft_dec_gen' as an argument to this
+ | function. This takes in the x/y coordinates and outputs the soft
+ | decisions. These soft decisions are stored into the list at the
+ | index from the above table as a tuple.
+ |
+ | The function 'calc_from_table' takes in a point and reverses this
+ | operation. It converts the point from the coordinates (-1,-1) to
+ | (1,1) into an index value in the table and returns the tuple of
+ | soft decisions at that index.
+ |
+ | Es is the maximum energy per symbol. This is passed to the
+ | function to provide the bounds when calling the generator function
+ | since they don't know how the constellation was normalized. Using
+ | the (maximum) energy per symbol for constellation allows us to
+ | provide any scaling of the constellation (normalized to sum to 1,
+ | normalized so the outside points sit on +/-1, etc.) but still
+ | calculate the soft decisions as we would given the full
+ | constellation.
'''
diff --git a/gr-fec/examples/tpc_ber_curve_gen.py
b/gr-fec/examples/tpc_ber_curve_gen.py
new file mode 100755
index 0000000..004f9f8
--- /dev/null
+++ b/gr-fec/examples/tpc_ber_curve_gen.py
@@ -0,0 +1,457 @@
+#!/usr/bin/env python2
+##################################################
+# GNU Radio Python Flow Graph
+# Title: Tpc Ber Curve Gen
+# Generated: Thu Jul 23 09:27:33 2015
+##################################################
+
+if __name__ == '__main__':
+ import ctypes
+ import sys
+ if sys.platform.startswith('linux'):
+ try:
+ x11 = ctypes.cdll.LoadLibrary('libX11.so')
+ x11.XInitThreads()
+ except:
+ print "Warning: failed to XInitThreads()"
+
+from PyQt4 import Qt
+from gnuradio import eng_notation
+from gnuradio import fec
+from gnuradio import gr
+from gnuradio import qtgui
+from gnuradio.eng_option import eng_option
+from gnuradio.filter import firdes
+from optparse import OptionParser
+import numpy
+import sip
+import sys
+
+from distutils.version import StrictVersion
+class tpc_ber_curve_gen(gr.top_block, Qt.QWidget):
+
+ def __init__(self):
+ gr.top_block.__init__(self, "Tpc Ber Curve Gen")
+ Qt.QWidget.__init__(self)
+ self.setWindowTitle("Tpc Ber Curve Gen")
+ try:
+ self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
+ except:
+ pass
+ self.top_scroll_layout = Qt.QVBoxLayout()
+ self.setLayout(self.top_scroll_layout)
+ self.top_scroll = Qt.QScrollArea()
+ self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
+ self.top_scroll_layout.addWidget(self.top_scroll)
+ self.top_scroll.setWidgetResizable(True)
+ self.top_widget = Qt.QWidget()
+ self.top_scroll.setWidget(self.top_widget)
+ self.top_layout = Qt.QVBoxLayout(self.top_widget)
+ self.top_grid_layout = Qt.QGridLayout()
+ self.top_layout.addLayout(self.top_grid_layout)
+
+ self.settings = Qt.QSettings("GNU Radio", "tpc_ber_curve_gen")
+ self.restoreGeometry(self.settings.value("geometry").toByteArray())
+
+
+ ##################################################
+ # Variables
+ ##################################################
+ self.esno_0 = esno_0 = numpy.arange(0, 8, .5)
+ self.samp_rate_0 = samp_rate_0 = 35000000
+ self.rate = rate = 2
+ self.polys = polys = [79, 109]
+ self.k = k = 7
+ self.framebits = framebits = 4096
+
+ self.enc_tpc_4 = enc_tpc_4 = map( (lambda b: map( ( lambda a:
fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ self.enc_tpc_3 = enc_tpc_3 = map( (lambda b: map( ( lambda a:
fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ self.enc_tpc_2 = enc_tpc_2 = map( (lambda b: map( ( lambda a:
fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ self.enc_tpc_1 = enc_tpc_1 = map( (lambda b: map( ( lambda a:
fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ self.enc_tpc_0 = enc_tpc_0 = map( (lambda b: map( ( lambda a:
fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ self.dec_tpc_4 = dec_tpc_4 = map( (lambda b: map( ( lambda a:
fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 4)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ self.dec_tpc_3 = dec_tpc_3 = map( (lambda b: map( ( lambda a:
fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 3)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ self.dec_tpc_2 = dec_tpc_2 = map( (lambda b: map( ( lambda a:
fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 2)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ self.dec_tpc_1 = dec_tpc_1 = map( (lambda b: map( ( lambda a:
fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 1)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ self.dec_tpc_0 = dec_tpc_0 = map( (lambda b: map( ( lambda a:
fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 0)), range(0,1) ) ),
range(0,len(esno_0)));
+
+ ##################################################
+ # Blocks
+ ##################################################
+ self.qtgui_bercurve_sink_0 = qtgui.ber_sink_b(
+ esno_0, #range of esnos
+ 5, #number of curves
+ 1000, #ensure at least
+ -10, #cutoff
+ [], #indiv. curve names
+ )
+ self.qtgui_bercurve_sink_0.set_update_time(0.10)
+ self.qtgui_bercurve_sink_0.set_y_axis(-10, 0)
+ self.qtgui_bercurve_sink_0.set_x_axis(esno_0[0], esno_0[-1])
+
+ labels = ["Linear LOG-MAP", "MAX LOG-MAP", "Constant LOG-MAP",
"LOG-MAP (LUT)", "LOG-MAP (C Correction)",
+ "", "", "", "", ""]
+ widths = [2, 2, 2, 2, 2,
+ 1, 1, 1, 1, 1]
+ colors = ["blue", "red", "magenta", "dark red", "Dark Blue",
+ "red", "red", "red", "red", "red"]
+ styles = [1, 2, 5, 5, 4,
+ 0, 0, 0, 0, 0]
+ markers = [0, 1, 0, 0, 0,
+ 0, 0, 0, 0, 0]
+ alphas = [1, 1, 1, 1.0, 1.0,
+ 1.0, 1.0, 1.0, 1.0, 1.0]
+ for i in xrange(5):
+ if len(labels[i]) == 0:
+ self.qtgui_bercurve_sink_0.set_line_label(i, "Data
{0}".format(i))
+ else:
+ self.qtgui_bercurve_sink_0.set_line_label(i, labels[i])
+ self.qtgui_bercurve_sink_0.set_line_width(i, widths[i])
+ self.qtgui_bercurve_sink_0.set_line_color(i, colors[i])
+ self.qtgui_bercurve_sink_0.set_line_style(i, styles[i])
+ self.qtgui_bercurve_sink_0.set_line_marker(i, markers[i])
+ self.qtgui_bercurve_sink_0.set_line_alpha(i, alphas[i])
+
+ self._qtgui_bercurve_sink_0_win =
sip.wrapinstance(self.qtgui_bercurve_sink_0.pyqwidget(), Qt.QWidget)
+ self.top_layout.addWidget(self._qtgui_bercurve_sink_0_win)
+ self.fec_bercurve_generator_0_1_0 = fec.bercurve_generator(
+ enc_tpc_4, #size
+ dec_tpc_4, #name
+ esno_0, #range of esnos
+ samp_rate_0, #throttle
+ "capillary", #threading mode
+ '11', #puncture pattern
+ -100 # noise gen. seed
+ )
+
+ self.fec_bercurve_generator_0_1 = fec.bercurve_generator(
+ enc_tpc_3, #size
+ dec_tpc_3, #name
+ esno_0, #range of esnos
+ samp_rate_0, #throttle
+ "capillary", #threading mode
+ '11', #puncture pattern
+ -100 # noise gen. seed
+ )
+
+ self.fec_bercurve_generator_0_0_0 = fec.bercurve_generator(
+ enc_tpc_0, #size
+ dec_tpc_0, #name
+ esno_0, #range of esnos
+ samp_rate_0, #throttle
+ "capillary", #threading mode
+ '11', #puncture pattern
+ -100 # noise gen. seed
+ )
+
+ self.fec_bercurve_generator_0_0 = fec.bercurve_generator(
+ enc_tpc_1, #size
+ dec_tpc_1, #name
+ esno_0, #range of esnos
+ samp_rate_0, #throttle
+ "capillary", #threading mode
+ '11', #puncture pattern
+ -100 # noise gen. seed
+ )
+
+ self.fec_bercurve_generator_0 = fec.bercurve_generator(
+ enc_tpc_2, #size
+ dec_tpc_2, #name
+ esno_0, #range of esnos
+ samp_rate_0, #throttle
+ "capillary", #threading mode
+ '11', #puncture pattern
+ -100 # noise gen. seed
+ )
+
+
+ ##################################################
+ # Connections
+ ##################################################
+ self.connect((self.fec_bercurve_generator_0, 0),
(self.qtgui_bercurve_sink_0, 64))
+ self.connect((self.fec_bercurve_generator_0, 1),
(self.qtgui_bercurve_sink_0, 65))
+ self.connect((self.fec_bercurve_generator_0, 2),
(self.qtgui_bercurve_sink_0, 66))
+ self.connect((self.fec_bercurve_generator_0, 3),
(self.qtgui_bercurve_sink_0, 67))
+ self.connect((self.fec_bercurve_generator_0, 4),
(self.qtgui_bercurve_sink_0, 68))
+ self.connect((self.fec_bercurve_generator_0, 5),
(self.qtgui_bercurve_sink_0, 69))
+ self.connect((self.fec_bercurve_generator_0, 6),
(self.qtgui_bercurve_sink_0, 70))
+ self.connect((self.fec_bercurve_generator_0, 7),
(self.qtgui_bercurve_sink_0, 71))
+ self.connect((self.fec_bercurve_generator_0, 8),
(self.qtgui_bercurve_sink_0, 72))
+ self.connect((self.fec_bercurve_generator_0, 9),
(self.qtgui_bercurve_sink_0, 73))
+ self.connect((self.fec_bercurve_generator_0, 10),
(self.qtgui_bercurve_sink_0, 74))
+ self.connect((self.fec_bercurve_generator_0, 11),
(self.qtgui_bercurve_sink_0, 75))
+ self.connect((self.fec_bercurve_generator_0, 12),
(self.qtgui_bercurve_sink_0, 76))
+ self.connect((self.fec_bercurve_generator_0, 13),
(self.qtgui_bercurve_sink_0, 77))
+ self.connect((self.fec_bercurve_generator_0, 14),
(self.qtgui_bercurve_sink_0, 78))
+ self.connect((self.fec_bercurve_generator_0, 15),
(self.qtgui_bercurve_sink_0, 79))
+ self.connect((self.fec_bercurve_generator_0, 16),
(self.qtgui_bercurve_sink_0, 80))
+ self.connect((self.fec_bercurve_generator_0, 17),
(self.qtgui_bercurve_sink_0, 81))
+ self.connect((self.fec_bercurve_generator_0, 18),
(self.qtgui_bercurve_sink_0, 82))
+ self.connect((self.fec_bercurve_generator_0, 19),
(self.qtgui_bercurve_sink_0, 83))
+ self.connect((self.fec_bercurve_generator_0, 20),
(self.qtgui_bercurve_sink_0, 84))
+ self.connect((self.fec_bercurve_generator_0, 21),
(self.qtgui_bercurve_sink_0, 85))
+ self.connect((self.fec_bercurve_generator_0, 22),
(self.qtgui_bercurve_sink_0, 86))
+ self.connect((self.fec_bercurve_generator_0, 23),
(self.qtgui_bercurve_sink_0, 87))
+ self.connect((self.fec_bercurve_generator_0, 24),
(self.qtgui_bercurve_sink_0, 88))
+ self.connect((self.fec_bercurve_generator_0, 25),
(self.qtgui_bercurve_sink_0, 89))
+ self.connect((self.fec_bercurve_generator_0, 26),
(self.qtgui_bercurve_sink_0, 90))
+ self.connect((self.fec_bercurve_generator_0, 27),
(self.qtgui_bercurve_sink_0, 91))
+ self.connect((self.fec_bercurve_generator_0, 28),
(self.qtgui_bercurve_sink_0, 92))
+ self.connect((self.fec_bercurve_generator_0, 29),
(self.qtgui_bercurve_sink_0, 93))
+ self.connect((self.fec_bercurve_generator_0, 30),
(self.qtgui_bercurve_sink_0, 94))
+ self.connect((self.fec_bercurve_generator_0, 31),
(self.qtgui_bercurve_sink_0, 95))
+ self.connect((self.fec_bercurve_generator_0_0, 0),
(self.qtgui_bercurve_sink_0, 32))
+ self.connect((self.fec_bercurve_generator_0_0, 1),
(self.qtgui_bercurve_sink_0, 33))
+ self.connect((self.fec_bercurve_generator_0_0, 2),
(self.qtgui_bercurve_sink_0, 34))
+ self.connect((self.fec_bercurve_generator_0_0, 3),
(self.qtgui_bercurve_sink_0, 35))
+ self.connect((self.fec_bercurve_generator_0_0, 4),
(self.qtgui_bercurve_sink_0, 36))
+ self.connect((self.fec_bercurve_generator_0_0, 5),
(self.qtgui_bercurve_sink_0, 37))
+ self.connect((self.fec_bercurve_generator_0_0, 6),
(self.qtgui_bercurve_sink_0, 38))
+ self.connect((self.fec_bercurve_generator_0_0, 7),
(self.qtgui_bercurve_sink_0, 39))
+ self.connect((self.fec_bercurve_generator_0_0, 8),
(self.qtgui_bercurve_sink_0, 40))
+ self.connect((self.fec_bercurve_generator_0_0, 9),
(self.qtgui_bercurve_sink_0, 41))
+ self.connect((self.fec_bercurve_generator_0_0, 10),
(self.qtgui_bercurve_sink_0, 42))
+ self.connect((self.fec_bercurve_generator_0_0, 11),
(self.qtgui_bercurve_sink_0, 43))
+ self.connect((self.fec_bercurve_generator_0_0, 12),
(self.qtgui_bercurve_sink_0, 44))
+ self.connect((self.fec_bercurve_generator_0_0, 13),
(self.qtgui_bercurve_sink_0, 45))
+ self.connect((self.fec_bercurve_generator_0_0, 14),
(self.qtgui_bercurve_sink_0, 46))
+ self.connect((self.fec_bercurve_generator_0_0, 15),
(self.qtgui_bercurve_sink_0, 47))
+ self.connect((self.fec_bercurve_generator_0_0, 16),
(self.qtgui_bercurve_sink_0, 48))
+ self.connect((self.fec_bercurve_generator_0_0, 17),
(self.qtgui_bercurve_sink_0, 49))
+ self.connect((self.fec_bercurve_generator_0_0, 18),
(self.qtgui_bercurve_sink_0, 50))
+ self.connect((self.fec_bercurve_generator_0_0, 19),
(self.qtgui_bercurve_sink_0, 51))
+ self.connect((self.fec_bercurve_generator_0_0, 20),
(self.qtgui_bercurve_sink_0, 52))
+ self.connect((self.fec_bercurve_generator_0_0, 21),
(self.qtgui_bercurve_sink_0, 53))
+ self.connect((self.fec_bercurve_generator_0_0, 22),
(self.qtgui_bercurve_sink_0, 54))
+ self.connect((self.fec_bercurve_generator_0_0, 23),
(self.qtgui_bercurve_sink_0, 55))
+ self.connect((self.fec_bercurve_generator_0_0, 24),
(self.qtgui_bercurve_sink_0, 56))
+ self.connect((self.fec_bercurve_generator_0_0, 25),
(self.qtgui_bercurve_sink_0, 57))
+ self.connect((self.fec_bercurve_generator_0_0, 26),
(self.qtgui_bercurve_sink_0, 58))
+ self.connect((self.fec_bercurve_generator_0_0, 27),
(self.qtgui_bercurve_sink_0, 59))
+ self.connect((self.fec_bercurve_generator_0_0, 28),
(self.qtgui_bercurve_sink_0, 60))
+ self.connect((self.fec_bercurve_generator_0_0, 29),
(self.qtgui_bercurve_sink_0, 61))
+ self.connect((self.fec_bercurve_generator_0_0, 30),
(self.qtgui_bercurve_sink_0, 62))
+ self.connect((self.fec_bercurve_generator_0_0, 31),
(self.qtgui_bercurve_sink_0, 63))
+ self.connect((self.fec_bercurve_generator_0_0_0, 0),
(self.qtgui_bercurve_sink_0, 0))
+ self.connect((self.fec_bercurve_generator_0_0_0, 1),
(self.qtgui_bercurve_sink_0, 1))
+ self.connect((self.fec_bercurve_generator_0_0_0, 2),
(self.qtgui_bercurve_sink_0, 2))
+ self.connect((self.fec_bercurve_generator_0_0_0, 3),
(self.qtgui_bercurve_sink_0, 3))
+ self.connect((self.fec_bercurve_generator_0_0_0, 4),
(self.qtgui_bercurve_sink_0, 4))
+ self.connect((self.fec_bercurve_generator_0_0_0, 5),
(self.qtgui_bercurve_sink_0, 5))
+ self.connect((self.fec_bercurve_generator_0_0_0, 6),
(self.qtgui_bercurve_sink_0, 6))
+ self.connect((self.fec_bercurve_generator_0_0_0, 7),
(self.qtgui_bercurve_sink_0, 7))
+ self.connect((self.fec_bercurve_generator_0_0_0, 8),
(self.qtgui_bercurve_sink_0, 8))
+ self.connect((self.fec_bercurve_generator_0_0_0, 9),
(self.qtgui_bercurve_sink_0, 9))
+ self.connect((self.fec_bercurve_generator_0_0_0, 10),
(self.qtgui_bercurve_sink_0, 10))
+ self.connect((self.fec_bercurve_generator_0_0_0, 11),
(self.qtgui_bercurve_sink_0, 11))
+ self.connect((self.fec_bercurve_generator_0_0_0, 12),
(self.qtgui_bercurve_sink_0, 12))
+ self.connect((self.fec_bercurve_generator_0_0_0, 13),
(self.qtgui_bercurve_sink_0, 13))
+ self.connect((self.fec_bercurve_generator_0_0_0, 14),
(self.qtgui_bercurve_sink_0, 14))
+ self.connect((self.fec_bercurve_generator_0_0_0, 15),
(self.qtgui_bercurve_sink_0, 15))
+ self.connect((self.fec_bercurve_generator_0_0_0, 16),
(self.qtgui_bercurve_sink_0, 16))
+ self.connect((self.fec_bercurve_generator_0_0_0, 17),
(self.qtgui_bercurve_sink_0, 17))
+ self.connect((self.fec_bercurve_generator_0_0_0, 18),
(self.qtgui_bercurve_sink_0, 18))
+ self.connect((self.fec_bercurve_generator_0_0_0, 19),
(self.qtgui_bercurve_sink_0, 19))
+ self.connect((self.fec_bercurve_generator_0_0_0, 20),
(self.qtgui_bercurve_sink_0, 20))
+ self.connect((self.fec_bercurve_generator_0_0_0, 21),
(self.qtgui_bercurve_sink_0, 21))
+ self.connect((self.fec_bercurve_generator_0_0_0, 22),
(self.qtgui_bercurve_sink_0, 22))
+ self.connect((self.fec_bercurve_generator_0_0_0, 23),
(self.qtgui_bercurve_sink_0, 23))
+ self.connect((self.fec_bercurve_generator_0_0_0, 24),
(self.qtgui_bercurve_sink_0, 24))
+ self.connect((self.fec_bercurve_generator_0_0_0, 25),
(self.qtgui_bercurve_sink_0, 25))
+ self.connect((self.fec_bercurve_generator_0_0_0, 26),
(self.qtgui_bercurve_sink_0, 26))
+ self.connect((self.fec_bercurve_generator_0_0_0, 27),
(self.qtgui_bercurve_sink_0, 27))
+ self.connect((self.fec_bercurve_generator_0_0_0, 28),
(self.qtgui_bercurve_sink_0, 28))
+ self.connect((self.fec_bercurve_generator_0_0_0, 29),
(self.qtgui_bercurve_sink_0, 29))
+ self.connect((self.fec_bercurve_generator_0_0_0, 30),
(self.qtgui_bercurve_sink_0, 30))
+ self.connect((self.fec_bercurve_generator_0_0_0, 31),
(self.qtgui_bercurve_sink_0, 31))
+ self.connect((self.fec_bercurve_generator_0_1, 0),
(self.qtgui_bercurve_sink_0, 96))
+ self.connect((self.fec_bercurve_generator_0_1, 1),
(self.qtgui_bercurve_sink_0, 97))
+ self.connect((self.fec_bercurve_generator_0_1, 2),
(self.qtgui_bercurve_sink_0, 98))
+ self.connect((self.fec_bercurve_generator_0_1, 3),
(self.qtgui_bercurve_sink_0, 99))
+ self.connect((self.fec_bercurve_generator_0_1, 4),
(self.qtgui_bercurve_sink_0, 100))
+ self.connect((self.fec_bercurve_generator_0_1, 5),
(self.qtgui_bercurve_sink_0, 101))
+ self.connect((self.fec_bercurve_generator_0_1, 6),
(self.qtgui_bercurve_sink_0, 102))
+ self.connect((self.fec_bercurve_generator_0_1, 7),
(self.qtgui_bercurve_sink_0, 103))
+ self.connect((self.fec_bercurve_generator_0_1, 8),
(self.qtgui_bercurve_sink_0, 104))
+ self.connect((self.fec_bercurve_generator_0_1, 9),
(self.qtgui_bercurve_sink_0, 105))
+ self.connect((self.fec_bercurve_generator_0_1, 10),
(self.qtgui_bercurve_sink_0, 106))
+ self.connect((self.fec_bercurve_generator_0_1, 11),
(self.qtgui_bercurve_sink_0, 107))
+ self.connect((self.fec_bercurve_generator_0_1, 12),
(self.qtgui_bercurve_sink_0, 108))
+ self.connect((self.fec_bercurve_generator_0_1, 13),
(self.qtgui_bercurve_sink_0, 109))
+ self.connect((self.fec_bercurve_generator_0_1, 14),
(self.qtgui_bercurve_sink_0, 110))
+ self.connect((self.fec_bercurve_generator_0_1, 15),
(self.qtgui_bercurve_sink_0, 111))
+ self.connect((self.fec_bercurve_generator_0_1, 16),
(self.qtgui_bercurve_sink_0, 112))
+ self.connect((self.fec_bercurve_generator_0_1, 17),
(self.qtgui_bercurve_sink_0, 113))
+ self.connect((self.fec_bercurve_generator_0_1, 18),
(self.qtgui_bercurve_sink_0, 114))
+ self.connect((self.fec_bercurve_generator_0_1, 19),
(self.qtgui_bercurve_sink_0, 115))
+ self.connect((self.fec_bercurve_generator_0_1, 20),
(self.qtgui_bercurve_sink_0, 116))
+ self.connect((self.fec_bercurve_generator_0_1, 21),
(self.qtgui_bercurve_sink_0, 117))
+ self.connect((self.fec_bercurve_generator_0_1, 22),
(self.qtgui_bercurve_sink_0, 118))
+ self.connect((self.fec_bercurve_generator_0_1, 23),
(self.qtgui_bercurve_sink_0, 119))
+ self.connect((self.fec_bercurve_generator_0_1, 24),
(self.qtgui_bercurve_sink_0, 120))
+ self.connect((self.fec_bercurve_generator_0_1, 25),
(self.qtgui_bercurve_sink_0, 121))
+ self.connect((self.fec_bercurve_generator_0_1, 26),
(self.qtgui_bercurve_sink_0, 122))
+ self.connect((self.fec_bercurve_generator_0_1, 27),
(self.qtgui_bercurve_sink_0, 123))
+ self.connect((self.fec_bercurve_generator_0_1, 28),
(self.qtgui_bercurve_sink_0, 124))
+ self.connect((self.fec_bercurve_generator_0_1, 29),
(self.qtgui_bercurve_sink_0, 125))
+ self.connect((self.fec_bercurve_generator_0_1, 30),
(self.qtgui_bercurve_sink_0, 126))
+ self.connect((self.fec_bercurve_generator_0_1, 31),
(self.qtgui_bercurve_sink_0, 127))
+ self.connect((self.fec_bercurve_generator_0_1_0, 0),
(self.qtgui_bercurve_sink_0, 128))
+ self.connect((self.fec_bercurve_generator_0_1_0, 1),
(self.qtgui_bercurve_sink_0, 129))
+ self.connect((self.fec_bercurve_generator_0_1_0, 2),
(self.qtgui_bercurve_sink_0, 130))
+ self.connect((self.fec_bercurve_generator_0_1_0, 3),
(self.qtgui_bercurve_sink_0, 131))
+ self.connect((self.fec_bercurve_generator_0_1_0, 4),
(self.qtgui_bercurve_sink_0, 132))
+ self.connect((self.fec_bercurve_generator_0_1_0, 5),
(self.qtgui_bercurve_sink_0, 133))
+ self.connect((self.fec_bercurve_generator_0_1_0, 6),
(self.qtgui_bercurve_sink_0, 134))
+ self.connect((self.fec_bercurve_generator_0_1_0, 7),
(self.qtgui_bercurve_sink_0, 135))
+ self.connect((self.fec_bercurve_generator_0_1_0, 8),
(self.qtgui_bercurve_sink_0, 136))
+ self.connect((self.fec_bercurve_generator_0_1_0, 9),
(self.qtgui_bercurve_sink_0, 137))
+ self.connect((self.fec_bercurve_generator_0_1_0, 10),
(self.qtgui_bercurve_sink_0, 138))
+ self.connect((self.fec_bercurve_generator_0_1_0, 11),
(self.qtgui_bercurve_sink_0, 139))
+ self.connect((self.fec_bercurve_generator_0_1_0, 12),
(self.qtgui_bercurve_sink_0, 140))
+ self.connect((self.fec_bercurve_generator_0_1_0, 13),
(self.qtgui_bercurve_sink_0, 141))
+ self.connect((self.fec_bercurve_generator_0_1_0, 14),
(self.qtgui_bercurve_sink_0, 142))
+ self.connect((self.fec_bercurve_generator_0_1_0, 15),
(self.qtgui_bercurve_sink_0, 143))
+ self.connect((self.fec_bercurve_generator_0_1_0, 16),
(self.qtgui_bercurve_sink_0, 144))
+ self.connect((self.fec_bercurve_generator_0_1_0, 17),
(self.qtgui_bercurve_sink_0, 145))
+ self.connect((self.fec_bercurve_generator_0_1_0, 18),
(self.qtgui_bercurve_sink_0, 146))
+ self.connect((self.fec_bercurve_generator_0_1_0, 19),
(self.qtgui_bercurve_sink_0, 147))
+ self.connect((self.fec_bercurve_generator_0_1_0, 20),
(self.qtgui_bercurve_sink_0, 148))
+ self.connect((self.fec_bercurve_generator_0_1_0, 21),
(self.qtgui_bercurve_sink_0, 149))
+ self.connect((self.fec_bercurve_generator_0_1_0, 22),
(self.qtgui_bercurve_sink_0, 150))
+ self.connect((self.fec_bercurve_generator_0_1_0, 23),
(self.qtgui_bercurve_sink_0, 151))
+ self.connect((self.fec_bercurve_generator_0_1_0, 24),
(self.qtgui_bercurve_sink_0, 152))
+ self.connect((self.fec_bercurve_generator_0_1_0, 25),
(self.qtgui_bercurve_sink_0, 153))
+ self.connect((self.fec_bercurve_generator_0_1_0, 26),
(self.qtgui_bercurve_sink_0, 154))
+ self.connect((self.fec_bercurve_generator_0_1_0, 27),
(self.qtgui_bercurve_sink_0, 155))
+ self.connect((self.fec_bercurve_generator_0_1_0, 28),
(self.qtgui_bercurve_sink_0, 156))
+ self.connect((self.fec_bercurve_generator_0_1_0, 29),
(self.qtgui_bercurve_sink_0, 157))
+ self.connect((self.fec_bercurve_generator_0_1_0, 30),
(self.qtgui_bercurve_sink_0, 158))
+ self.connect((self.fec_bercurve_generator_0_1_0, 31),
(self.qtgui_bercurve_sink_0, 159))
+
+ def closeEvent(self, event):
+ self.settings = Qt.QSettings("GNU Radio", "tpc_ber_curve_gen")
+ self.settings.setValue("geometry", self.saveGeometry())
+ event.accept()
+
+ def get_esno_0(self):
+ return self.esno_0
+
+ def set_esno_0(self, esno_0):
+ self.esno_0 = esno_0
+
+ def get_samp_rate_0(self):
+ return self.samp_rate_0
+
+ def set_samp_rate_0(self, samp_rate_0):
+ self.samp_rate_0 = samp_rate_0
+
+ def get_rate(self):
+ return self.rate
+
+ def set_rate(self, rate):
+ self.rate = rate
+
+ def get_polys(self):
+ return self.polys
+
+ def set_polys(self, polys):
+ self.polys = polys
+
+ def get_k(self):
+ return self.k
+
+ def set_k(self, k):
+ self.k = k
+
+ def get_framebits(self):
+ return self.framebits
+
+ def set_framebits(self, framebits):
+ self.framebits = framebits
+
+ def get_enc_tpc_4(self):
+ return self.enc_tpc_4
+
+ def set_enc_tpc_4(self, enc_tpc_4):
+ self.enc_tpc_4 = enc_tpc_4
+
+ def get_enc_tpc_3(self):
+ return self.enc_tpc_3
+
+ def set_enc_tpc_3(self, enc_tpc_3):
+ self.enc_tpc_3 = enc_tpc_3
+
+ def get_enc_tpc_2(self):
+ return self.enc_tpc_2
+
+ def set_enc_tpc_2(self, enc_tpc_2):
+ self.enc_tpc_2 = enc_tpc_2
+
+ def get_enc_tpc_1(self):
+ return self.enc_tpc_1
+
+ def set_enc_tpc_1(self, enc_tpc_1):
+ self.enc_tpc_1 = enc_tpc_1
+
+ def get_enc_tpc_0(self):
+ return self.enc_tpc_0
+
+ def set_enc_tpc_0(self, enc_tpc_0):
+ self.enc_tpc_0 = enc_tpc_0
+
+ def get_dec_tpc_4(self):
+ return self.dec_tpc_4
+
+ def set_dec_tpc_4(self, dec_tpc_4):
+ self.dec_tpc_4 = dec_tpc_4
+
+ def get_dec_tpc_3(self):
+ return self.dec_tpc_3
+
+ def set_dec_tpc_3(self, dec_tpc_3):
+ self.dec_tpc_3 = dec_tpc_3
+
+ def get_dec_tpc_2(self):
+ return self.dec_tpc_2
+
+ def set_dec_tpc_2(self, dec_tpc_2):
+ self.dec_tpc_2 = dec_tpc_2
+
+ def get_dec_tpc_1(self):
+ return self.dec_tpc_1
+
+ def set_dec_tpc_1(self, dec_tpc_1):
+ self.dec_tpc_1 = dec_tpc_1
+
+ def get_dec_tpc_0(self):
+ return self.dec_tpc_0
+
+ def set_dec_tpc_0(self, dec_tpc_0):
+ self.dec_tpc_0 = dec_tpc_0
+
+
+if __name__ == '__main__':
+ parser = OptionParser(option_class=eng_option, usage="%prog: [options]")
+ (options, args) = parser.parse_args()
+ if(StrictVersion(Qt.qVersion()) >= StrictVersion("4.5.0")):
+
Qt.QApplication.setGraphicsSystem(gr.prefs().get_string('qtgui','style','raster'))
+ qapp = Qt.QApplication(sys.argv)
+ tb = tpc_ber_curve_gen()
+ tb.start()
+ tb.show()
+ def quitting():
+ tb.stop()
+ tb.wait()
+ qapp.connect(qapp, Qt.SIGNAL("aboutToQuit()"), quitting)
+ qapp.exec_()
+ tb = None #to clean up Qt widgets
diff --git a/gr-filter/python/filter/pfb.py b/gr-filter/python/filter/pfb.py
index 2227058..9f23d10 100644
--- a/gr-filter/python/filter/pfb.py
+++ b/gr-filter/python/filter/pfb.py
@@ -405,14 +405,14 @@ class channelizer_hier_ccf(gr.hier_block2):
Make a Polyphase Filter channelizer (complex in, complex out,
floating-point taps)
Args:
- n_chans - The number of channels to split into.
- n_filterbanks - The number of filterbank blocks to use (default=2).
- taps: The taps to use. If this is `None` then taps are generated
using optfir.low_pass.
- outchans - Which channels to output streams for (a list of integers)
(default is all channels).
- atten: Stop band attenuation.
- bw: The fraction of the channel you want to keep.
- tb: Transition band with as fraction of channel width.
- ripple: Pass band ripple in dB.
+ n_chans: The number of channels to split into.
+ n_filterbanks: The number of filterbank blocks to use (default=2).
+ taps: The taps to use. If this is `None` then taps are generated using
optfir.low_pass.
+ outchans: Which channels to output streams for (a list of integers)
(default is all channels).
+ atten: Stop band attenuation.
+ bw: The fraction of the channel you want to keep.
+ tb: Transition band with as fraction of channel width.
+ ripple: Pass band ripple in dB.
"""
def __init__(self, n_chans, n_filterbanks=1, taps=None, outchans=None,
- [Commit-gnuradio] [gnuradio] 20/20: Merge branch 'maint', (continued)
- [Commit-gnuradio] [gnuradio] 20/20: Merge branch 'maint', git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 19/20: Merge remote-tracking branch 'gnuradio-wg-grc/master_grcwg', git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 04/20: grc: clean-up ActionHandler.py imports, git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 14/20: Merge remote-tracking branch 'estatz/qtgui_trigger_callbacks', git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 13/20: grc: super-secret, git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 10/20: grc: show cmdline when xterm is used, git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 12/20: qtgui: Modified the qproperties to scale the colorbar title from the .qss file, git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 18/20: Merge remote-tracking branch 'sdh11/complexity', git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 15/20: Merge remote-tracking branch 'tom/docs/sphinx_update', git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 03/20: grc: have cmake find a xterm executable on UNIX, git, 2015/08/28
- [Commit-gnuradio] [gnuradio] 08/20: whitespace fixes and some minor adjustments for building the Python manual.,
git <=
- [Commit-gnuradio] [gnuradio] 09/20: docs: Reviving Python manual., git, 2015/08/28