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[Commit-gnuradio] [gnuradio] 09/13: digital: fixes issues with the const
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[Commit-gnuradio] [gnuradio] 09/13: digital: fixes issues with the constellation soft decoder, specifically how the decisions are calculated in the C++ code and some issues with the QAM16 constellation in particular. |
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Date: |
Thu, 4 Dec 2014 16:21:51 +0000 (UTC) |
This is an automated email from the git hooks/post-receive script.
trondeau pushed a commit to branch maint
in repository gnuradio.
commit 57ee0e7e122668a2b7f628ecb84fe1f90f9d2d11
Author: Tom Rondeau <address@hidden>
Date: Tue Dec 2 15:11:05 2014 -0500
digital: fixes issues with the constellation soft decoder, specifically how
the decisions are calculated in the C++ code and some issues with the QAM16
constellation in particular.
This addresses issue #737. The patch attached to that issue is not actually
valid and is only an ordering problem/confusion. I will be adding an example
GRC flowgraph that compares the output of the hard decision and soft decision
versions to the original input stream to show how they match.
Increased testing coverage in the QA to test certain known points as well
as random samples.
---
.../include/gnuradio/digital/constellation.h | 45 +++---
gr-digital/lib/constellation.cc | 145 ++++++++++---------
.../lib/constellation_soft_decoder_cf_impl.cc | 8 +-
gr-digital/python/digital/qa_constellation.py | 107 ++++++++++----
.../digital/qa_constellation_soft_decoder_cf.py | 153 ++++++++++++++-------
gr-digital/python/digital/qam_constellations.py | 2 +-
gr-digital/python/digital/soft_dec_lut_gen.py | 96 ++++++++-----
7 files changed, 350 insertions(+), 206 deletions(-)
diff --git a/gr-digital/include/gnuradio/digital/constellation.h
b/gr-digital/include/gnuradio/digital/constellation.h
index f2b796e..0c29eff 100644
--- a/gr-digital/include/gnuradio/digital/constellation.h
+++ b/gr-digital/include/gnuradio/digital/constellation.h
@@ -39,7 +39,7 @@ namespace gr {
/* */
/* Base class defining interface. */
/************************************************************/
-
+
class constellation;
typedef boost::shared_ptr<constellation> constellation_sptr;
@@ -82,13 +82,13 @@ namespace gr {
unsigned int decision_maker_pe(const gr_complex *sample, float
*phase_error);
//! Calculates distance.
//unsigned int decision_maker_e(const gr_complex *sample, float *error);
-
+
//! Calculates metrics for all points in the constellation.
//! For use with the viterbi algorithm.
virtual void calc_metric(const gr_complex *sample, float *metric,
gr::digital::trellis_metric_type_t type);
virtual void calc_euclidean_metric(const gr_complex *sample, float
*metric);
virtual void calc_hard_symbol_metric(const gr_complex *sample, float
*metric);
-
+
//! Returns the set of points in this constellation.
std::vector<gr_complex> points() { return d_constellation;}
//! Returns the vector of points in this constellation.
@@ -111,7 +111,7 @@ namespace gr {
{
return
floor(log(double(d_constellation.size()))/d_dimensionality/log(2.0));
}
-
+
unsigned int arity()
{
return d_arity;
@@ -120,7 +120,7 @@ namespace gr {
constellation_sptr base()
{
return shared_from_this();
- }
+ }
pmt::pmt_t as_pmt()
{
@@ -185,7 +185,12 @@ namespace gr {
//! Returns True if the soft decision LUT has been defined, False
otherwise.
bool has_soft_dec_lut();
-
+
+
+ std::vector< std::vector<float> > soft_dec_lut();
+
+
+
/*! \brief Returns the soft decisions for the given \p sample.
*
* \details Returns the soft decisions for the given \p
@@ -200,7 +205,7 @@ namespace gr {
protected:
std::vector<gr_complex> d_constellation;
- std::vector<int> d_pre_diff_code;
+ std::vector<int> d_pre_diff_code;
bool d_apply_pre_diff_code;
unsigned int d_rotational_symmetry;
unsigned int d_dimensionality;
@@ -244,7 +249,7 @@ namespace gr {
* Make a general constellation object that calculates the Euclidean
distance for hard decisions.
*
* \param constell List of constellation points (order of list matches
pre_diff_code)
- * \param pre_diff_code List of alphabet symbols (before applying any
differential
+ * \param pre_diff_code List of alphabet symbols (before applying any
differential
* coding) (order of list matches constell)
* \param rotational_symmetry Number of rotations around unit circle
that have the same representation.
* \param dimensionality Number of dimensions to the constellation.
@@ -287,7 +292,7 @@ namespace gr {
* Make a sectorized constellation object.
*
* \param constell List of constellation points (order of list matches
pre_diff_code)
- * \param pre_diff_code List of alphabet symbols (before applying any
differential
+ * \param pre_diff_code List of alphabet symbols (before applying any
differential
* coding) (order of list matches constell)
* \param rotational_symmetry Number of rotations around unit circle
that have the same representation.
* \param dimensionality Number of z-axis dimensions to the constellation
@@ -342,13 +347,13 @@ namespace gr {
* Make a rectangular constellation object.
*
* \param constell List of constellation points (order of list matches
pre_diff_code)
- * \param pre_diff_code List of alphabet symbols (before applying any
differential
+ * \param pre_diff_code List of alphabet symbols (before applying any
differential
* coding) (order of list matches constell)
* \param rotational_symmetry Number of rotations around unit circle
that have the same representation.
* \param real_sectors Number of sectors the real axis is split in to.
* \param imag_sectors Number of sectors the imag axis is split in to.
* \param width_real_sectors width of each real sector to calculate
decision boundaries.
- * \param width_imag_sectors width of each imag sector to calculate
decision boundaries.
+ * \param width_imag_sectors width of each imag sector to calculate
decision boundaries.
*/
static constellation_rect::sptr make(std::vector<gr_complex> constell,
std::vector<int> pre_diff_code,
@@ -402,7 +407,7 @@ namespace gr {
* the closest constellation point, however sometimes it's nice to
* have the flexibility.
*/
- class DIGITAL_API constellation_expl_rect
+ class DIGITAL_API constellation_expl_rect
: public constellation_rect
{
public:
@@ -440,17 +445,17 @@ namespace gr {
/* constellation_psk */
/************************************************************/
- /*!
+ /*!
* \brief constellation_psk
* \ingroup digital
*
* Constellation space is divided into pie slices sectors.
*
- * Each slice is associated with the nearest constellation point.
+ * Each slice is associated with the nearest constellation point.
*
- * Works well for PSK but nothing else.
+ * Works well for PSK but nothing else.
*
- * Assumes that there is a constellation point at 1.x
+ * Assumes that there is a constellation point at 1.x
*/
class DIGITAL_API constellation_psk : public constellation_sector
{
@@ -466,7 +471,7 @@ namespace gr {
protected:
unsigned int get_sector(const gr_complex *sample);
-
+
unsigned int calc_sector_value(unsigned int sector);
constellation_psk(std::vector<gr_complex> constell,
@@ -482,7 +487,7 @@ namespace gr {
/* */
/************************************************************/
- /*!
+ /*!
* \brief Digital constellation for BPSK .
* \ingroup digital
*
@@ -515,7 +520,7 @@ namespace gr {
/* */
/************************************************************/
- /*!
+ /*!
* \brief Digital constellation for QPSK
* \ingroup digital
*
@@ -585,7 +590,7 @@ namespace gr {
/* */
/************************************************************/
- /*!
+ /*!
* \brief Digital constellation for 8PSK.
* \ingroup digital
*
diff --git a/gr-digital/lib/constellation.cc b/gr-digital/lib/constellation.cc
index 7d2c170..b17635f 100644
--- a/gr-digital/lib/constellation.cc
+++ b/gr-digital/lib/constellation.cc
@@ -32,6 +32,7 @@
#include <cfloat>
#include <stdexcept>
#include <boost/format.hpp>
+#include <iostream>
namespace gr {
namespace digital {
@@ -129,7 +130,7 @@ namespace gr {
unsigned int min_index = 0;
float min_euclid_dist;
float euclid_dist;
-
+
min_euclid_dist = get_distance(0, sample);
min_index = 0;
for(unsigned int j = 1; j < d_arity; j++){
@@ -244,21 +245,22 @@ namespace gr {
void
constellation::gen_soft_dec_lut(int precision, float npwr)
{
- max_min_axes();
- d_lut_scale = powf(2.0, static_cast<float>(precision));
- float xstep = (d_re_max - d_re_min) / (d_lut_scale-1);
- float ystep = (d_im_max - d_im_min) / (d_lut_scale-1);
d_soft_dec_lut.clear();
-
- float y = d_im_min;
- while(y < d_im_max) {
- float x = d_re_min;
- while(x < d_re_max) {
+ d_lut_scale = powf(2.0f, static_cast<float>(precision));
+
+ // We know we've normalized the constellation, so the min/max
+ // dimensions in either direction are scaled to +/-1.
+ float maxd = 1.0f;
+ float step = (2.0f*maxd) / (d_lut_scale-1);
+ float y = -maxd;
+ while(y < maxd+step) {
+ float x = -maxd;
+ while(x < maxd+step) {
gr_complex pt = gr_complex(x, y);
d_soft_dec_lut.push_back(calc_soft_dec(pt, npwr));
- x += xstep;
+ x += step;
}
- y += ystep;
+ y += step;
}
d_lut_precision = precision;
@@ -267,22 +269,19 @@ namespace gr {
std::vector<float>
constellation::calc_soft_dec(gr_complex sample, float npwr)
{
+ int v;
int M = static_cast<int>(d_constellation.size());
int k = static_cast<int>(log(static_cast<double>(M))/log(2.0));
std::vector<float> tmp(2*k, 0);
std::vector<float> s(k, 0);
- float scale = d_scalefactor*d_scalefactor;
- int v;
-
for(int i = 0; i < M; i++) {
// Calculate the distance between the sample and the current
// constellation point.
- float dist = powf(std::abs(sample - d_constellation[i]), 2.0f);
-
+ float dist = std::abs(sample - d_constellation[i]);
// Calculate the probability factor from the distance and
// the scaled noise power.
- float d = expf(-dist / (2.0*npwr*scale));
+ float d = expf(-dist/npwr);
if(d_apply_pre_diff_code)
v = d_pre_diff_code[i];
@@ -307,7 +306,7 @@ namespace gr {
// probability of ones (tmp[2*i+1]) over the probability of a zero
// (tmp[2*i+0]).
for(int i = 0; i < k; i++) {
- s[k-1-i] = (logf(tmp[2*i+1]) - logf(tmp[2*i+0])) * scale;
+ s[k-1-i] = (logf(tmp[2*i+1]) - logf(tmp[2*i+0]));
}
return s;
@@ -330,30 +329,40 @@ namespace gr {
return d_soft_dec_lut.size() > 0;
}
+ std::vector< std::vector<float> >
+ constellation::soft_dec_lut()
+ {
+ return d_soft_dec_lut;
+ }
+
std::vector<float>
constellation::soft_decision_maker(gr_complex sample)
{
if(has_soft_dec_lut()) {
- float xre = sample.real();
- float xim = sample.imag();
-
- float xstep = (d_re_max-d_re_min) / d_lut_scale;
- float ystep = (d_im_max-d_im_min) / d_lut_scale;
-
- float xscale = (d_lut_scale / (d_re_max-d_re_min)) - xstep;
- float yscale = (d_lut_scale / (d_im_max-d_im_min)) - ystep;
-
- xre = floorf((-d_re_min + std::min(d_re_max, std::max(d_re_min, xre)))
* xscale);
- xim = floorf((-d_im_min + std::min(d_im_max, std::max(d_im_min, xim)))
* yscale);
+ // Clip to just below 1 --> at 1, we can overflow the index
+ // that will put us in the next row of the 2D LUT.
+ float xre = branchless_clip(sample.real(), 0.99);
+ float xim = branchless_clip(sample.imag(), 0.99);
+
+ // We normalize the constellation in the ctor, so we know that
+ // the maximum dimenions go from -1 to +1. We can infer the x
+ // and y scale directly.
+ float scale = d_lut_scale / (2.0f);
+
+ // Convert the clipped x and y samples to nearest index offset
+ xre = floorf((1.0f + xre) * scale);
+ xim = floorf((1.0f + xim) * scale);
int index = static_cast<int>(d_lut_scale*xim + xre);
int max_index = d_lut_scale*d_lut_scale;
- if(index > max_index) {
- return d_soft_dec_lut[max_index-1];
- }
- if(index < 0)
- throw std::runtime_error("constellation::soft_decision_maker: input
sample out of range.");
+ // Make sure we are in bounds of the index
+ while(index >= max_index) {
+ index -= d_lut_scale;
+ }
+ while(index < 0) {
+ index += d_lut_scale;
+ }
return d_soft_dec_lut[index];
}
@@ -412,7 +421,7 @@ namespace gr {
unsigned int dimensionality)
: constellation(constell, pre_diff_code, rotational_symmetry,
dimensionality)
{}
-
+
// Chooses points base on shortest distance.
// Inefficient.
unsigned int
@@ -435,11 +444,11 @@ namespace gr {
n_sectors(n_sectors)
{
}
-
+
constellation_sector::~constellation_sector()
{
}
-
+
unsigned int
constellation_sector::decision_maker(const gr_complex *sample)
{
@@ -447,7 +456,7 @@ namespace gr {
sector = get_sector(sample);
return sector_values[sector];
}
-
+
void
constellation_sector::find_sector_values()
{
@@ -457,11 +466,11 @@ namespace gr {
sector_values.push_back(calc_sector_value(i));
}
}
-
-
+
+
/********************************************************************/
-
-
+
+
constellation_rect::sptr
constellation_rect::make(std::vector<gr_complex> constell,
std::vector<int> pre_diff_code,
@@ -495,31 +504,31 @@ namespace gr {
d_width_imag_sectors *= d_scalefactor;
find_sector_values();
}
-
+
constellation_rect::~constellation_rect()
{
}
-
+
unsigned int
constellation_rect::get_sector(const gr_complex *sample)
{
int real_sector, imag_sector;
unsigned int sector;
-
+
real_sector = int(real(*sample)/d_width_real_sectors
+ n_real_sectors/2.0);
if(real_sector < 0)
real_sector = 0;
if(real_sector >= (int)n_real_sectors)
real_sector = n_real_sectors-1;
-
+
imag_sector = int(imag(*sample)/d_width_imag_sectors
+ n_imag_sectors/2.0);
if(imag_sector < 0)
imag_sector = 0;
if(imag_sector >= (int)n_imag_sectors)
imag_sector = n_imag_sectors-1;
-
+
sector = real_sector * n_imag_sectors + imag_sector;
return sector;
}
@@ -536,7 +545,7 @@ namespace gr {
(imag_sector + 0.5 - n_imag_sectors/2.0) * d_width_imag_sectors);
return sector_center;
}
-
+
unsigned int
constellation_rect::calc_sector_value(unsigned int sector)
{
@@ -547,8 +556,8 @@ namespace gr {
}
/********************************************************************/
-
- constellation_expl_rect::sptr
+
+ constellation_expl_rect::sptr
constellation_expl_rect::make(std::vector<gr_complex> constellation,
std::vector<int> pre_diff_code,
unsigned int rotational_symmetry,
@@ -565,7 +574,7 @@ namespace gr {
width_real_sectors, width_imag_sectors,
sector_values));
}
-
+
constellation_expl_rect::constellation_expl_rect(
std::vector<gr_complex> constellation,
std::vector<int> pre_diff_code,
@@ -580,16 +589,16 @@ namespace gr {
d_sector_values(sector_values)
{
}
-
+
constellation_expl_rect::~constellation_expl_rect()
{
}
-
+
/********************************************************************/
-
-
- constellation_psk::sptr
- constellation_psk::make(std::vector<gr_complex> constell,
+
+
+ constellation_psk::sptr
+ constellation_psk::make(std::vector<gr_complex> constell,
std::vector<int> pre_diff_code,
unsigned int n_sectors)
{
@@ -597,7 +606,7 @@ namespace gr {
(constell, pre_diff_code,
n_sectors));
}
-
+
constellation_psk::constellation_psk(std::vector<gr_complex> constell,
std::vector<int> pre_diff_code,
unsigned int n_sectors) :
@@ -606,11 +615,11 @@ namespace gr {
{
find_sector_values();
}
-
+
constellation_psk::~constellation_psk()
{
}
-
+
unsigned int
constellation_psk::get_sector(const gr_complex *sample)
{
@@ -621,7 +630,7 @@ namespace gr {
sector += n_sectors;
return sector;
}
-
+
unsigned int
constellation_psk::calc_sector_value(unsigned int sector)
{
@@ -635,7 +644,7 @@ namespace gr {
/********************************************************************/
- constellation_bpsk::sptr
+ constellation_bpsk::sptr
constellation_bpsk::make()
{
return constellation_bpsk::sptr(new constellation_bpsk());
@@ -665,7 +674,7 @@ namespace gr {
/********************************************************************/
- constellation_qpsk::sptr
+ constellation_qpsk::sptr
constellation_qpsk::make()
{
return constellation_qpsk::sptr(new constellation_qpsk());
@@ -679,7 +688,7 @@ namespace gr {
d_constellation[1] = gr_complex(SQRT_TWO, -SQRT_TWO);
d_constellation[2] = gr_complex(-SQRT_TWO, SQRT_TWO);
d_constellation[3] = gr_complex(SQRT_TWO, SQRT_TWO);
-
+
/*
d_constellation[0] = gr_complex(SQRT_TWO, SQRT_TWO);
d_constellation[1] = gr_complex(-SQRT_TWO, SQRT_TWO);
@@ -701,7 +710,7 @@ namespace gr {
constellation_qpsk::~constellation_qpsk()
{
}
-
+
unsigned int
constellation_qpsk::decision_maker(const gr_complex *sample)
{
@@ -731,7 +740,7 @@ namespace gr {
/********************************************************************/
- constellation_dqpsk::sptr
+ constellation_dqpsk::sptr
constellation_dqpsk::make()
{
return constellation_dqpsk::sptr(new constellation_dqpsk());
@@ -791,7 +800,7 @@ namespace gr {
/********************************************************************/
- constellation_8psk::sptr
+ constellation_8psk::sptr
constellation_8psk::make()
{
return constellation_8psk::sptr(new constellation_8psk());
diff --git a/gr-digital/lib/constellation_soft_decoder_cf_impl.cc
b/gr-digital/lib/constellation_soft_decoder_cf_impl.cc
index cd0a844..aeab660 100644
--- a/gr-digital/lib/constellation_soft_decoder_cf_impl.cc
+++ b/gr-digital/lib/constellation_soft_decoder_cf_impl.cc
@@ -1,19 +1,19 @@
/* -*- c++ -*- */
/*
* 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,
diff --git a/gr-digital/python/digital/qa_constellation.py
b/gr-digital/python/digital/qa_constellation.py
index 00248f4..42e49bb 100644
--- a/gr-digital/python/digital/qa_constellation.py
+++ b/gr-digital/python/digital/qa_constellation.py
@@ -1,26 +1,26 @@
#!/usr/bin/env python
#
# Copyright 2011,2013 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.
-#
+#
-import random
+import random, math
from cmath import exp, pi, log, sqrt
from gnuradio import gr, gr_unittest, digital, blocks
@@ -40,7 +40,7 @@ tested_mod_codes = (mod_codes.NO_CODE, mod_codes.GRAY_CODE)
def twod_constell():
"""
-
+
"""
points = ((1+0j), (0+1j),
(-1+0j), (0-1j))
@@ -76,12 +76,12 @@ easy_constellation_info = (
False, None),
(qam.qam_constellation,
{'constellation_points': (4,),
- 'mod_code': tested_mod_codes,
+ 'mod_code': tested_mod_codes,
'large_ampls_to_corners': [False],},
True, None),
(qam.qam_constellation,
{'constellation_points': (4, 16, 64),
- 'mod_code': tested_mod_codes,
+ 'mod_code': tested_mod_codes,
'differential': (False,)},
False, None),
(digital.constellation_bpsk, {}, True, None),
@@ -101,7 +101,7 @@ medium_constellation_info = (
True, None),
(qam.qam_constellation,
{'constellation_points': (16 ,),
- 'mod_code': tested_mod_codes,
+ 'mod_code': tested_mod_codes,
'large_ampls_to_corners': [False, True],},
True, None),
(qamlike.qam32_holeinside_constellation,
@@ -113,11 +113,20 @@ medium_constellation_info = (
difficult_constellation_info = (
(qam.qam_constellation,
{'constellation_points': (64,),
- 'mod_code': tested_mod_codes,
+ 'mod_code': tested_mod_codes,
'large_ampls_to_corners': [False, True],},
- True, None),
+ True, None),
)
+def slicer(x):
+ ret = []
+ for xi in x:
+ if(xi < 0):
+ ret.append(0.0)
+ else:
+ ret.append(1.0)
+ return ret
+
def tested_constellations(easy=True, medium=True, difficult=True):
"""
Generator to produce (constellation, differential) tuples for testing
purposes.
@@ -153,7 +162,7 @@ def tested_constellations(easy=True, medium=True,
difficult=True):
this_poss_arg[2] = 0
if sum([argindex for argname, argvalues, argindex in
poss_args]) == 0:
break
-
+
class test_constellation(gr_unittest.TestCase):
@@ -170,7 +179,7 @@ class test_constellation(gr_unittest.TestCase):
for constellation, differential in tested_constellations():
if differential:
rs = constellation.rotational_symmetry()
- rotations = [exp(i*2*pi*(0+1j)/rs) for i in range(0, rs)]
+ rotations = [exp(i*2*pi*(0+1j)/rs) for i in range(0, rs)]
else:
rotations = [None]
for rotation in rotations:
@@ -216,17 +225,17 @@ class test_constellation(gr_unittest.TestCase):
y_cpp_raw_calc = []
y_cpp_table = []
for sample in samples:
- y_python_raw_calc += digital.calc_soft_dec(sample, constel, code)
- y_python_gen_calc += digital.sd_psk_4_0(sample, Es)
- y_python_table += digital.calc_soft_dec_from_table(sample, table,
prec, Es)
+ y_python_raw_calc += slicer(digital.calc_soft_dec(sample, constel,
code))
+ y_python_gen_calc += slicer(digital.sd_psk_4_0(sample, Es))
+ y_python_table += slicer(digital.calc_soft_dec_from_table(sample,
table, prec, Es))
y_cpp_raw_calc += c.calc_soft_dec(sample)
y_cpp_table += c.soft_decision_maker(sample)
- self.assertFloatTuplesAlmostEqual(y_python_raw_calc,
y_python_gen_calc, 4)
- self.assertFloatTuplesAlmostEqual(y_python_raw_calc, y_python_table, 2)
- self.assertFloatTuplesAlmostEqual(y_cpp_raw_calc, y_cpp_table, 4)
-
+ self.assertFloatTuplesAlmostEqual(y_python_raw_calc,
y_python_gen_calc, 0)
+ self.assertFloatTuplesAlmostEqual(y_python_gen_calc, y_python_table, 0)
+ self.assertFloatTuplesAlmostEqual(y_cpp_raw_calc, y_cpp_table, 0)
+
def test_soft_qpsk_calc(self):
prec = 8
constel, code = digital.psk_4_0()
@@ -257,14 +266,54 @@ class test_constellation(gr_unittest.TestCase):
y_cpp_raw_calc = []
y_cpp_table = []
for sample in samples:
- y_python_raw_calc += digital.calc_soft_dec(sample, constel, code)
- y_python_table += digital.calc_soft_dec_from_table(sample, table,
prec, Es)
+ y_python_raw_calc += slicer(digital.calc_soft_dec(sample, constel,
code))
+ y_python_table += slicer(digital.calc_soft_dec_from_table(sample,
table, prec, Es))
- y_cpp_raw_calc += c.calc_soft_dec(sample)
- y_cpp_table += c.soft_decision_maker(sample)
+ y_cpp_raw_calc += slicer(c.calc_soft_dec(sample))
+ y_cpp_table += slicer(c.soft_decision_maker(sample))
+
+ self.assertEqual(y_python_raw_calc, y_python_table)
+ self.assertEqual(y_cpp_raw_calc, y_cpp_table)
+
+
+ def test_soft_qam16_calc(self):
+ prec = 8
+ constel, code = digital.qam_16_0()
- self.assertFloatTuplesAlmostEqual(y_python_raw_calc, y_python_table, 4)
- self.assertFloatTuplesAlmostEqual(y_cpp_raw_calc, y_cpp_table, 4)
+ rot_sym = 1
+ side = 2
+ width = 2
+ c = digital.constellation_rect(constel, code, rot_sym,
+ side, side, width, width)
+
+ # Get max energy/symbol in constellation
+ constel = c.points()
+ Es = max([abs(constel_i) for constel_i in constel])
+
+ table = digital.soft_dec_table(constel, code, prec)
+ c.gen_soft_dec_lut(prec)
+
+ x = sqrt(2.0)/2.0
+ step = (x.real+x.real) / (2**prec - 1)
+ samples = [ -x-x*1j, -x+x*1j,
+ x+x*1j, x-x*1j,
+ (-x+128*step)+(-x+128*step)*1j,
+ (-x+64*step) +(-x+64*step)*1j, (-x+64*step)
+(-x+192*step)*1j,
+ (-x+192*step)+(-x+192*step)*1j,
(-x+192*step)+(-x+64*step)*1j,]
+
+ y_python_raw_calc = []
+ y_python_table = []
+ y_cpp_raw_calc = []
+ y_cpp_table = []
+ for sample in samples:
+ y_python_raw_calc += slicer(digital.calc_soft_dec(sample, constel,
code))
+ y_python_table += slicer(digital.calc_soft_dec_from_table(sample,
table, prec, Es))
+
+ y_cpp_raw_calc += slicer(c.calc_soft_dec(sample))
+ y_cpp_table += slicer(c.soft_decision_maker(sample))
+
+ self.assertFloatTuplesAlmostEqual(y_python_raw_calc, y_python_table, 0)
+ self.assertFloatTuplesAlmostEqual(y_cpp_raw_calc, y_cpp_table, 0)
class mod_demod(gr.hier_block2):
def __init__(self, constellation, differential, rotation):
@@ -317,7 +366,7 @@ class mod_demod(gr.hier_block2):
if self.constellation.apply_pre_diff_code():
self.blocks.append(digital.map_bb(
mod_codes.invert_code(self.constellation.pre_diff_code())))
- # unpack the k bit vector into a stream of bits
+ # unpack the k bit vector into a stream of bits
self.blocks.append(blocks.unpack_k_bits_bb(
self.constellation.bits_per_symbol()))
# connect to block output
@@ -326,6 +375,6 @@ class mod_demod(gr.hier_block2):
self.blocks.append(weakref.proxy(self))
self.connect(*self.blocks)
-
+
if __name__ == '__main__':
gr_unittest.run(test_constellation, "test_constellation.xml")
diff --git a/gr-digital/python/digital/qa_constellation_soft_decoder_cf.py
b/gr-digital/python/digital/qa_constellation_soft_decoder_cf.py
index 6cd7575..448e76e 100644
--- a/gr-digital/python/digital/qa_constellation_soft_decoder_cf.py
+++ b/gr-digital/python/digital/qa_constellation_soft_decoder_cf.py
@@ -1,27 +1,28 @@
#!/usr/bin/env python
#
# 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.
-#
+#
from gnuradio import gr, gr_unittest, digital, blocks
from math import sqrt
+from numpy import random, vectorize
class test_constellation_soft_decoder(gr_unittest.TestCase):
@@ -31,16 +32,15 @@ class test_constellation_soft_decoder(gr_unittest.TestCase):
def tearDown(self):
self.tb = None
- def test_constellation_soft_decoder_cf_bpsk(self):
- prec = 8
- src_data = (0.5 + 0.5j, 0.1 - 1.2j, -0.8 - 0.1j, -0.45 + 0.8j,
- 0.8 + 1.0j, -0.5 + 0.1j, 0.1 - 1.2j, 1+1j)
- lut = digital.soft_dec_table_generator(digital.sd_psk_2_0x0, prec)
+ def helper_with_lut(self, prec, src_data, const_gen, const_sd_gen):
+ cnst_pts, code = const_gen()
+ Es = max([abs(c) for c in cnst_pts])
+ lut = digital.soft_dec_table_generator(const_sd_gen, prec, Es)
expected_result = list()
for s in src_data:
- expected_result += digital.calc_soft_dec_from_table(s, lut, prec,
Es=2/sqrt(2))
+ res = digital.calc_soft_dec_from_table(s, lut, prec, sqrt(2.0))
+ expected_result += res
- cnst_pts, code = digital.psk_2_0x0()
cnst = digital.constellation_calcdist(cnst_pts, code, 2, 1)
cnst.set_soft_dec_lut(lut, int(prec))
src = blocks.vector_source_c(src_data)
@@ -49,64 +49,123 @@ class
test_constellation_soft_decoder(gr_unittest.TestCase):
self.tb.connect(src, op)
self.tb.connect(op, dst)
- self.tb.run() # run the graph and wait for it to finish
+ self.tb.run()
actual_result = dst.data() # fetch the contents of the sink
#print "actual result", actual_result
#print "expected result", expected_result
- self.assertFloatTuplesAlmostEqual(expected_result, actual_result, 4)
+ self.assertFloatTuplesAlmostEqual(expected_result, actual_result, 5)
- def test_constellation_soft_decoder_cf_qpsk(self):
- prec = 8
- src_data = (0.5 + 0.5j, 0.1 - 1.2j, -0.8 - 0.1j, -0.45 + 0.8j,
- 0.8 + 1.0j, -0.5 + 0.1j, 0.1 - 1.2j, 1+1j)
- lut = digital.soft_dec_table_generator(digital.sd_psk_4_0x0_0_1, prec)
+ def helper_no_lut(self, prec, src_data, const_gen, const_sd_gen):
+ cnst_pts, code = const_gen()
+ cnst = digital.constellation_calcdist(cnst_pts, code, 2, 1)
expected_result = list()
for s in src_data:
- expected_result += digital.calc_soft_dec_from_table(s, lut, prec)
+ res = digital.calc_soft_dec(s, cnst.points(), code)
+ expected_result += res
- cnst_pts,code = digital.psk_4_0x0_0_1()
- cnst = digital.constellation_calcdist(cnst_pts, code, 2, 1)
- cnst.set_soft_dec_lut(lut, int(prec))
src = blocks.vector_source_c(src_data)
op = digital.constellation_soft_decoder_cf(cnst.base())
dst = blocks.vector_sink_f()
self.tb.connect(src, op)
self.tb.connect(op, dst)
- self.tb.run() # run the graph and wait for it to finish
+ self.tb.run()
actual_result = dst.data() # fetch the contents of the sink
#print "actual result", actual_result
#print "expected result", expected_result
- self.assertFloatTuplesAlmostEqual(expected_result, actual_result, 5)
- def test_constellation_soft_decoder_cf_qam16(self):
+ # Double vs. float precision issues between Python and C++, so
+ # use only 4 decimals in comparisons.
+ self.assertFloatTuplesAlmostEqual(expected_result, actual_result, 4)
+
+ def test_constellation_soft_decoder_cf_bpsk_3(self):
+ prec = 3
+ src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
+ -2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
+ -0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
+ 0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
+ 0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
+ self.helper_with_lut(prec, src_data, digital.psk_2_0x0,
digital.sd_psk_2_0x0)
+
+ def test_constellation_soft_decoder_cf_bpsk_8(self):
prec = 8
- src_data = (0.5 + 0.5j, 0.1 - 1.2j, -0.8 - 0.1j, -0.45 + 0.8j,
- 0.8 + 1.0j, -0.5 + 0.1j, 0.1 - 1.2j, 1+1j)
- lut = digital.soft_dec_table_generator(digital.sd_qam_16_0x0_0_1_2_3,
prec)
- expected_result = list()
- for s in src_data:
- expected_result += digital.calc_soft_dec_from_table(s, lut, prec)
+ src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
+ -2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
+ -0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
+ 0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
+ 0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
+ self.helper_with_lut(prec, src_data, digital.psk_2_0x0,
digital.sd_psk_2_0x0)
+
+ def test_constellation_soft_decoder_cf_bpsk_8_rand(self):
+ prec = 8
+ src_data = vectorize(complex)(2*random.randn(100), 2*random.randn(100))
+ self.helper_with_lut(prec, src_data, digital.psk_2_0x0,
digital.sd_psk_2_0x0)
- cnst_pts = digital.qam_16_0x0_0_1_2_3()
- cnst = digital.constellation_calcdist(cnst_pts[0], cnst_pts[1], 2, 1)
- cnst.set_soft_dec_lut(lut, int(prec))
- src = blocks.vector_source_c(src_data)
- op = digital.constellation_soft_decoder_cf(cnst.base())
- dst = blocks.vector_sink_f()
+ def test_constellation_soft_decoder_cf_bpsk_8_rand2(self):
+ prec = 8
+ src_data = vectorize(complex)(2*random.randn(100), 2*random.randn(100))
+ self.helper_no_lut(prec, src_data, digital.psk_2_0x0,
digital.sd_psk_2_0x0)
+
+ def test_constellation_soft_decoder_cf_qpsk_3(self):
+ prec = 3
+ src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
+ -2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
+ -0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
+ 0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
+ 0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
+ self.helper_with_lut(prec, src_data, digital.psk_4_0x0_0_1,
digital.sd_psk_4_0x0_0_1)
+
+ def test_constellation_soft_decoder_cf_qpsk_8(self):
+ prec = 8
+ src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
+ -2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
+ -0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
+ 0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
+ 0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
+ self.helper_with_lut(prec, src_data, digital.psk_4_0x0_0_1,
digital.sd_psk_4_0x0_0_1)
+
+ def test_constellation_soft_decoder_cf_qpsk_8_rand(self):
+ prec = 8
+ src_data = vectorize(complex)(2*random.randn(100), 2*random.randn(100))
+ self.helper_with_lut(prec, src_data, digital.psk_4_0x0_0_1,
digital.sd_psk_4_0x0_0_1)
- self.tb.connect(src, op)
- self.tb.connect(op, dst)
- self.tb.run() # run the graph and wait for it to finish
+ def test_constellation_soft_decoder_cf_qpsk_8_rand2(self):
+ prec = 8
+ src_data = vectorize(complex)(2*random.randn(100), 2*random.randn(100))
+ self.helper_no_lut(prec, src_data, digital.psk_4_0x0_0_1,
digital.sd_psk_4_0x0_0_1)
+
+ def test_constellation_soft_decoder_cf_qam16_3(self):
+ prec = 3
+ src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
+ -2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
+ -0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
+ 0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
+ 0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
+ self.helper_with_lut(prec, src_data, digital.qam_16_0x0_0_1_2_3,
digital.sd_qam_16_0x0_0_1_2_3)
+
+ def test_constellation_soft_decoder_cf_qam16_8(self):
+ prec = 8
+ src_data = (-1.0 - 1.0j, 1.0 - 1.0j, -1.0 + 1.0j, 1.0 + 1.0j,
+ -2.0 - 2.0j, 2.0 - 2.0j, -2.0 + 2.0j, 2.0 + 2.0j,
+ -0.2 - 0.2j, 0.2 - 0.2j, -0.2 + 0.2j, 0.2 + 0.2j,
+ 0.3 + 0.4j, 0.1 - 1.2j, -0.8 - 0.1j, -0.4 + 0.8j,
+ 0.8 + 1.0j, -0.5 + 0.1j, 0.1 + 1.2j, -1.7 - 0.9j)
+ self.helper_with_lut(prec, src_data, digital.qam_16_0x0_0_1_2_3,
digital.sd_qam_16_0x0_0_1_2_3)
+
+ def test_constellation_soft_decoder_cf_qam16_8_rand(self):
+ prec = 8
+ src_data = vectorize(complex)(2*random.randn(100), 2*random.randn(100))
+ self.helper_with_lut(prec, src_data, digital.qam_16_0x0_0_1_2_3,
digital.sd_qam_16_0x0_0_1_2_3)
- actual_result = dst.data() # fetch the contents of the sink
- #print "actual result", actual_result
- #print "expected result", expected_result
- self.assertFloatTuplesAlmostEqual(expected_result, actual_result, 5)
+ def test_constellation_soft_decoder_cf_qam16_8_rand2(self):
+ prec = 8
+ #src_data = vectorize(complex)(2*random.randn(100),
2*random.randn(100))
+ src_data = vectorize(complex)(2*random.randn(2), 2*random.randn(2))
+ self.helper_no_lut(prec, src_data, digital.qam_16_0x0_0_1_2_3,
digital.sd_qam_16_0x0_0_1_2_3)
if __name__ == '__main__':
- gr_unittest.run(test_constellation_soft_decoder,
"test_constellation_soft_decoder.xml")
-
+ #gr_unittest.run(test_constellation_soft_decoder,
"test_constellation_soft_decoder.xml")
+ gr_unittest.run(test_constellation_soft_decoder)
diff --git a/gr-digital/python/digital/qam_constellations.py
b/gr-digital/python/digital/qam_constellations.py
index 6f9f6bf..ed86d7e 100755
--- a/gr-digital/python/digital/qam_constellations.py
+++ b/gr-digital/python/digital/qam_constellations.py
@@ -270,7 +270,7 @@ def sd_qam_16_0x0_0_1_2_3(x, Es=1):
b2 = -abs(x_re) + boundary
b0 = -abs(x_im) + boundary
- return [(Es/2)*b3, (Es/2)*b2, (Es/2)*b1, (Es/2)*b0]
+ return [(Es/2.0)*b3, (Es/2.0)*b2, (Es/2.0)*b1, (Es/2.0)*b0]
sd_qam_16 = sd_qam_16_0x0_0_1_2_3
sd_qam_16_0 = sd_qam_16
diff --git a/gr-digital/python/digital/soft_dec_lut_gen.py
b/gr-digital/python/digital/soft_dec_lut_gen.py
index 24d8bbd..9c184d6 100644
--- a/gr-digital/python/digital/soft_dec_lut_gen.py
+++ b/gr-digital/python/digital/soft_dec_lut_gen.py
@@ -1,30 +1,29 @@
#!/usr/bin/env python
#
# 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.
-#
+#
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
+ '''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).
@@ -70,18 +69,19 @@ def soft_dec_table_generator(soft_dec_gen, prec, Es=1):
(1,1) into an index value in the table and returns the tuple of
soft decisions at that index.
- Es is the 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,
+ 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.
+
'''
npts = 2.0**prec
- maxd = Es*numpy.sqrt(2)/2
+ maxd = Es*numpy.sqrt(2.0)/2.0
yrng = numpy.linspace(-maxd, maxd, npts)
xrng = numpy.linspace(-maxd, maxd, npts)
@@ -129,7 +129,7 @@ def soft_dec_table(constel, symbols, prec, npwr=1):
table.append(decs)
return table
-def calc_soft_dec_from_table(sample, table, prec, Es=1):
+def calc_soft_dec_from_table(sample, table, prec, Es=1.0):
'''
Takes in a complex sample and converts it from the coordinates
(-1,-1) to (1,1) into an index value. The index value points to a
@@ -152,25 +152,25 @@ def calc_soft_dec_from_table(sample, table, prec, Es=1):
calculate the soft decisions as we would given the full
constellation.
'''
- lut_scale = 2**prec
- maxd = Es*numpy.sqrt(2)/2
- step = 2*maxd / lut_scale
- scale = (lut_scale) / (2*maxd) - step
-
+ lut_scale = 2.0**prec
+ maxd = Es*numpy.sqrt(2.0)/2.0
+ scale = (lut_scale) / (2.0*maxd)
+
+ alpha = 0.99 # to keep index within bounds
xre = sample.real
xim = sample.imag
- xre = int((maxd + min(maxd, max(-maxd, xre))) * scale)
- xim = int((maxd + min(maxd, max(-maxd, xim))) * scale)
- index = int(xre + lut_scale*xim)
+ xre = ((maxd + min(alpha*maxd, max(-alpha*maxd, xre))) * scale)
+ xim = ((maxd + min(alpha*maxd, max(-alpha*maxd, xim))) * scale)
+ index = int(xre) + lut_scale*int(xim)
max_index = lut_scale**2
- if(index > max_index):
- return table[0];
- if(index < 0):
- raise RuntimeError("calc_from_table: input sample out of range.")
+ while(index >= max_index):
+ index -= lut_scale;
+ while(index < 0):
+ index += lut_scale;
- return table[index]
+ return table[int(index)]
def calc_soft_dec(sample, constel, symbols, npwr=1):
'''
@@ -192,25 +192,21 @@ def calc_soft_dec(sample, constel, symbols, npwr=1):
than 0 are more likely to indicate a '0' bit and decisions greater
than 0 are more likely to indicate a '1' bit.
'''
-
+
M = len(constel)
k = int(numpy.log2(M))
tmp = 2*k*[0,]
s = k*[0,]
- # Find a scaling factor for the constellation, however it was normalized.
- constel = numpy.array(constel)
- scale = min(min(abs(constel.real)), min(abs(constel.imag)))
-
for i in range(M):
# Calculate the distance between the sample and the current
# constellation point.
- dist = abs(sample - constel[i])**2
+ dist = abs(sample - constel[i])
# Calculate the probability factor from the distance and the
# scaled noise power.
- d = numpy.exp(-dist/(2*npwr*scale**2))
-
+ d = numpy.exp(-dist/npwr)
+
for j in range(k):
# Get the bit at the jth index
mask = 1<<j
@@ -222,11 +218,37 @@ def calc_soft_dec(sample, constel, symbols, npwr=1):
# else, add to the probability of a one
else:
tmp[2*j+1] += d
-
+
# Calculate the log-likelihood ratio for all bits based on the
# probability of ones (tmp[2*i+1]) over the probability of a zero
# (tmp[2*i+0]).
for i in range(k):
- s[k-1-i] = (numpy.log(tmp[2*i+1]) - numpy.log(tmp[2*i+0])) * scale**2
+ s[k-1-i] = (numpy.log(tmp[2*i+1]) - numpy.log(tmp[2*i+0]))
return s
+
+
+def show_table(table):
+ prec = int(numpy.sqrt(len(table)))
+ nbits = len(table[0])
+ pp = ""
+ subi = 1
+ subj = 0
+ for i in reversed(xrange(prec+1)):
+ if(i == prec//2):
+ pp += "-----" + prec*((nbits*8)+3)*"-" + "\n"
+ subi = 0
+ continue
+ for j in xrange(prec+1):
+ if(j == prec//2):
+ pp += "| "
+ subj = 1
+ else:
+ item = table[prec*(i-subi) + (j-subj)]
+ pp += "( "
+ for t in xrange(nbits-1, -1, -1):
+ pp += "{0: .4f} ".format(item[t])
+ pp += ") "
+ pp += "\n"
+ subj = 0
+ print pp
- [Commit-gnuradio] [gnuradio] 02/13: modified the qa tests to the correct values., (continued)
- [Commit-gnuradio] [gnuradio] 02/13: modified the qa tests to the correct values., git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 01/13: Corrected the fast_atan2f function. Recalculated the table and corrected some errors in the code. Error before correction: <0.111 degrees. Error after correction: <8.20E-5 degrees Some QA tests failed after correcting fast_atan2f function. The tests were also fixed., git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 04/13: Checking for NaN takes too much time. With some incompatibility to cmath atan2 for some NaN/Inf combinations the performance is better now. This change should not have any impact in SDR related things. It is only for checking NaN/Inf values., git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 13/13: logger: fixed a problem with the Python loggers not respecting the log_file and debug_file settings in the logger preferences file., git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 07/13: runtime: math: reset a QA test for the fast_atan2f for mixed nan/inf input., git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 06/13: runtime: math: in fast_atan2f, moved nested if that checks for divide by zero out into its own check., git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 08/13: qtgui: compare current time domain x-axis unit with new unit to ensure time scale update., git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 03/13: cleaned the code, git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 11/13: filter: fixed default filter for rational_resampler., git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 12/13: filter: adds documentation to using the rational resamplers., git, 2014/12/04
- [Commit-gnuradio] [gnuradio] 09/13: digital: fixes issues with the constellation soft decoder, specifically how the decisions are calculated in the C++ code and some issues with the QAM16 constellation in particular.,
git <=
- [Commit-gnuradio] [gnuradio] 10/13: digtial: adding example to explore the constellation decoder and soft decoder for different constellations., git, 2014/12/04