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/* -*- c++ -*- */
/*
* Copyright (C) 2017 Free Software Foundation, Inc.
*
* This file is part of GNU Radio
*
* SPDX-License-Identifier: GPL-3.0-or-later
*
*/
#ifdef HAVE_CONFIG_H
#include "config.h"
#endif
#include "interpolating_resampler.h"
#include <gnuradio/math.h>
#include <boost/make_unique.hpp>
#include <deque>
#include <stdexcept>
namespace gr {
namespace digital {
interpolating_resampler::interpolating_resampler(enum ir_type type, bool derivative)
: d_type(type),
d_derivative(derivative),
d_phase(0.0f),
d_phase_wrapped(0.0f),
d_phase_n(0),
d_prev_phase(0.0f),
d_prev_phase_wrapped(0.0f),
d_prev_phase_n(0)
{
switch (d_type) {
case IR_MMSE_8TAP:
break;
case IR_PFB_NO_MF:
break;
case IR_PFB_MF:
break;
case IR_NONE:
default:
throw std::invalid_argument(
"interpolating_resampler: invalid interpolating resampler type.");
break;
}
sync_reset(0.0f);
}
void interpolating_resampler::next_phase(float increment,
float& phase,
int& phase_n,
float& phase_wrapped)
{
float n;
phase = d_phase_wrapped + increment;
n = floorf(phase);
phase_wrapped = phase - n;
phase_n = static_cast<int>(n);
}
void interpolating_resampler::advance_phase(float increment)
{
d_prev_phase = d_phase;
d_prev_phase_wrapped = d_phase_wrapped;
d_prev_phase_n = d_phase_n;
next_phase(increment, d_phase, d_phase_n, d_phase_wrapped);
}
void interpolating_resampler::revert_phase()
{
d_phase = d_prev_phase;
d_phase_wrapped = d_prev_phase_wrapped;
d_phase_n = d_prev_phase_n;
}
void interpolating_resampler::sync_reset(float phase)
{
float n;
d_phase = phase;
n = floorf(d_phase);
d_phase_wrapped = d_phase - n;
d_phase_n = static_cast<int>(n);
d_prev_phase = d_phase;
d_prev_phase_wrapped = d_phase_wrapped;
d_prev_phase_n = d_phase_n;
}
/*************************************************************************/
std::unique_ptr<interpolating_resampler_ccf> interpolating_resampler_ccf::make(
enum ir_type type, bool derivative, int nfilts, const std::vector<float>& taps)
{
switch (type) {
case IR_MMSE_8TAP:
return boost::make_unique<interp_resampler_mmse_8tap_cc>(derivative);
case IR_PFB_NO_MF:
return boost::make_unique<interp_resampler_pfb_no_mf_cc>(derivative, nfilts);
case IR_PFB_MF:
return boost::make_unique<interp_resampler_pfb_mf_ccf>(taps, nfilts, derivative);
case IR_NONE:
return nullptr;
}
throw std::invalid_argument("interpolating_resampler_ccf: invalid "
"interpolating resampler type.");
}
/*************************************************************************/
std::unique_ptr<interpolating_resampler_fff> interpolating_resampler_fff::make(
enum ir_type type, bool derivative, int nfilts, const std::vector<float>& taps)
{
switch (type) {
case IR_MMSE_8TAP:
return boost::make_unique<interp_resampler_mmse_8tap_ff>(derivative);
case IR_PFB_NO_MF:
return boost::make_unique<interp_resampler_pfb_no_mf_ff>(derivative, nfilts);
case IR_PFB_MF:
return boost::make_unique<interp_resampler_pfb_mf_fff>(taps, nfilts, derivative);
case IR_NONE:
return nullptr;
}
throw std::invalid_argument("interpolating_resampler_fff: invalid "
"interpolating resampler type.");
}
/*************************************************************************/
interp_resampler_mmse_8tap_cc::interp_resampler_mmse_8tap_cc(bool derivative)
: interpolating_resampler_ccf(IR_MMSE_8TAP, derivative)
{
if (d_derivative) {
d_interp_diff = boost::make_unique<filter::mmse_interp_differentiator_cc>();
}
}
interp_resampler_mmse_8tap_cc::~interp_resampler_mmse_8tap_cc() {}
gr_complex interp_resampler_mmse_8tap_cc::interpolate(const gr_complex input[],
float mu) const
{
return d_interp.interpolate(input, mu);
}
gr_complex interp_resampler_mmse_8tap_cc::differentiate(const gr_complex input[],
float mu) const
{
return d_interp_diff->differentiate(input, mu);
}
unsigned int interp_resampler_mmse_8tap_cc::ntaps() const { return d_interp.ntaps(); }
/*************************************************************************/
interp_resampler_mmse_8tap_ff::interp_resampler_mmse_8tap_ff(bool derivative)
: interpolating_resampler_fff(IR_MMSE_8TAP, derivative)
{
if (d_derivative) {
d_interp_diff = boost::make_unique<filter::mmse_interp_differentiator_ff>();
}
}
interp_resampler_mmse_8tap_ff::~interp_resampler_mmse_8tap_ff() {}
float interp_resampler_mmse_8tap_ff::interpolate(const float input[], float mu) const
{
return d_interp.interpolate(input, mu);
}
float interp_resampler_mmse_8tap_ff::differentiate(const float input[], float mu) const
{
return d_interp_diff->differentiate(input, mu);
}
unsigned int interp_resampler_mmse_8tap_ff::ntaps() const { return d_interp.ntaps(); }
/*************************************************************************/
#include "gnuradio/filter/interp_differentiator_taps.h"
#include "gnuradio/filter/interpolator_taps.h"
interp_resampler_pfb_no_mf_cc::interp_resampler_pfb_no_mf_cc(bool derivative, int nfilts)
: interpolating_resampler_ccf(IR_PFB_NO_MF, derivative)
{
if (nfilts <= 1)
throw std::invalid_argument("interpolating_resampler_pfb_no_mf_cc: "
"number of polyphase filter arms "
"must be greater than 1");
// Round up the number of filter arms to the current or next power of 2
d_nfilters = 1 << (static_cast<int>(log2f(static_cast<float>(nfilts - 1))) + 1);
// N.B. We assume in this class: NSTEPS == DNSTEPS and NTAPS == DNTAPS
// Limit to the maximum number of precomputed MMSE tap sets
if (d_nfilters <= 0 || d_nfilters > NSTEPS)
d_nfilters = NSTEPS;
// Create our polyphase filter arms for the steps from 0.0 to 1.0 from
// the MMSE interpolating filter and MMSE interpolating differentiator
// taps rows.
// N.B. We create an extra final row for an offset of 1.0, because it's
// easier than dealing with wrap around from 0.99... to 0.0 shifted
// by 1 tap.
d_filters.reserve(d_nfilters + 1);
d_diff_filters.reserve(d_nfilters + 1);
std::vector<float> t(NTAPS, 0);
int incr = NSTEPS / d_nfilters;
for (int src = 0; src <= NSTEPS; src += incr) {
t.assign(&taps[src][0], &taps[src][NTAPS]);
d_filters.emplace_back(t);
if (d_derivative) {
t.assign(&Dtaps[src][0], &Dtaps[src][DNTAPS]);
d_diff_filters.emplace_back(t);
}
}
}
interp_resampler_pfb_no_mf_cc::~interp_resampler_pfb_no_mf_cc() {}
gr_complex interp_resampler_pfb_no_mf_cc::interpolate(const gr_complex input[],
float mu) const
{
int arm = static_cast<int>(rint(mu * d_nfilters));
if (arm < 0 || arm > d_nfilters)
throw std::runtime_error("interp_resampler_pfb_no_mf_cc: mu is not "
"in the range [0.0, 1.0]");
return d_filters[arm].filter(input);
}
gr_complex interp_resampler_pfb_no_mf_cc::differentiate(const gr_complex input[],
float mu) const
{
int arm = static_cast<int>(rint(mu * d_nfilters));
if (arm < 0 || arm > d_nfilters)
throw std::runtime_error("interp_resampler_pfb_no_mf_cc: mu is not "
"in the range [0.0, 1.0]");
return d_diff_filters[arm].filter(input);
}
unsigned int interp_resampler_pfb_no_mf_cc::ntaps() const { return NTAPS; }
/*************************************************************************/
interp_resampler_pfb_no_mf_ff::interp_resampler_pfb_no_mf_ff(bool derivative, int nfilts)
: interpolating_resampler_fff(IR_PFB_NO_MF, derivative), d_nfilters(0)
{
if (nfilts <= 1)
throw std::invalid_argument("interpolating_resampler_pfb_no_mf_ff: "
"number of polyphase filter arms "
"must be greater than 1");
// Round up the number of filter arms to the current or next power of 2
d_nfilters = 1 << (static_cast<int>(log2f(static_cast<float>(nfilts - 1))) + 1);
// N.B. We assume in this class: NSTEPS == DNSTEPS and NTAPS == DNTAPS
// Limit to the maximum number of precomputed MMSE tap sets
if (d_nfilters <= 0 || d_nfilters > NSTEPS)
d_nfilters = NSTEPS;
// Create our polyphase filter arms for the steps from 0.0 to 1.0 from
// the MMSE interpolating filter and MMSE interpolating differentiator
// taps rows.
// N.B. We create an extra final row for an offset of 1.0, because it's
// easier than dealing with wrap around from 0.99... to 0.0 shifted
// by 1 tap.
d_filters.reserve(d_nfilters + 1);
d_diff_filters.reserve(d_nfilters + 1);
std::vector<float> t(NTAPS, 0);
int incr = NSTEPS / d_nfilters;
for (int src = 0; src <= NSTEPS; src += incr) {
t.assign(&taps[src][0], &taps[src][NTAPS]);
d_filters.emplace_back(t);
if (d_derivative) {
t.assign(&Dtaps[src][0], &Dtaps[src][DNTAPS]);
d_diff_filters.emplace_back(t);
}
}
}
interp_resampler_pfb_no_mf_ff::~interp_resampler_pfb_no_mf_ff() {}
float interp_resampler_pfb_no_mf_ff::interpolate(const float input[], float mu) const
{
int arm = static_cast<int>(rint(mu * d_nfilters));
if (arm < 0 || arm > d_nfilters)
throw std::runtime_error("interp_resampler_pfb_no_mf_ff: mu is not "
"in the range [0.0, 1.0]");
return d_filters[arm].filter(input);
}
float interp_resampler_pfb_no_mf_ff::differentiate(const float input[], float mu) const
{
int arm = static_cast<int>(rint(mu * d_nfilters));
if (arm < 0 || arm > d_nfilters)
throw std::runtime_error("interp_resampler_pfb_no_mf_ff: mu is not "
"in the range [0.0, 1.0]");
return d_diff_filters[arm].filter(input);
}
unsigned int interp_resampler_pfb_no_mf_ff::ntaps() const { return NTAPS; }
/*************************************************************************/
interp_resampler_pfb_mf_ccf::interp_resampler_pfb_mf_ccf(const std::vector<float>& taps,
int nfilts,
bool derivative)
: interpolating_resampler_ccf(IR_PFB_MF, derivative),
d_nfilters(nfilts),
d_taps_per_filter(static_cast<unsigned int>(
ceil(static_cast<double>(taps.size()) / static_cast<double>(nfilts))))
{
if (d_nfilters <= 1)
throw std::invalid_argument("interpolating_resampler_pfb_mf_ccf: "
"number of polyphase filter arms "
"must be greater than 1");
if (taps.size() < static_cast<unsigned int>(d_nfilters))
throw std::invalid_argument("interpolating_resampler_pfb_mf_ccf: "
"length of the prototype filter taps"
" must be greater than or equal to "
"the number of polyphase filter arms.");
// Create a derivative filter from the provided taps
// First create a truncated ideal differentiator filter
int ideal_diff_filt_len = 3; // Must be odd; rest of init assumes odd.
std::vector<float> ideal_diff_taps(ideal_diff_filt_len, 0.0f);
int i, n;
n = ideal_diff_taps.size() / 2;
for (i = -n; i < 0; i++) {
ideal_diff_taps[i + n] = (-i & 1) == 1 ? -1.0f / i : 1.0f / i;
ideal_diff_taps[n - i] = -ideal_diff_taps[i + n];
}
ideal_diff_taps[n] = 0.0f;
// Perform linear convolution of prototype filter taps and the truncated
// ideal differentiator taps to generate a derivative matched filter.
// N.B. the truncated ideal differentiator taps must have an odd length
int j, k, l, m;
m = ideal_diff_taps.size();
n = taps.size();
l = m + n - 1; // length of convolution
std::deque<float> diff_taps(l, 0.0f);
for (i = 0; i < l; i++) {
for (j = 0; j < m; j++) {
k = i + j - (m - 1);
if (k < 0 || k >= n)
continue;
diff_taps[i] += ideal_diff_taps[(m - 1) - j] * taps[k];
}
}
// Trim the convolution so the prototype derivative filter is the same
// length as the passed in prototype filter taps.
n = ideal_diff_taps.size() / 2;
for (i = 0; i < n; i++) {
diff_taps.pop_back();
diff_taps.pop_front();
}
// Squash the differentiation noise spikes at the filter ends.
diff_taps[0] = 0.0f;
diff_taps[diff_taps.size() - 1] = 0.0f;
// Normalize the prototype derviative filter gain to the number of
// filter arms
n = diff_taps.size();
float mag = 0.0f;
for (i = 0; i < n; i++)
mag += fabsf(diff_taps[i]);
for (i = 0; i < n; i++) {
diff_taps[i] *= d_nfilters / mag;
if (d_derivative && std::isnan(diff_taps[i]))
throw std::runtime_error("interpolating_resampler_pfb_mf_ccf: "
"NaN error creating derivative filter.");
}
// Create our polyphase filter arms for the steps from 0.0 to 1.0 from
// the prototype matched filter.
// N.B. We create an extra final row for an offset of 1.0, because it's
// easier than dealing with wrap around from 0.99... to 0.0 shifted
// by 1 tap.
d_filters.reserve(d_nfilters + 1);
d_diff_filters.reserve(d_nfilters + 1);
m = taps.size();
n = diff_taps.size();
d_taps.resize(d_nfilters + 1);
d_diff_taps.resize(d_nfilters + 1);
signed int taps_per_filter = static_cast<signed int>(d_taps_per_filter);
for (i = 0; i <= d_nfilters; i++) {
d_taps[i] = std::vector<float>(d_taps_per_filter, 0.0f);
for (j = 0; j < taps_per_filter; j++) {
k = i + j * d_nfilters;
if (k < m)
d_taps[i][j] = taps[k];
}
d_filters.emplace_back(d_taps[i]);
if (!d_derivative)
continue;
d_diff_taps[i] = std::vector<float>(d_taps_per_filter, 0.0f);
for (j = 0; j < taps_per_filter; j++) {
k = i + j * d_nfilters;
if (k < n)
d_diff_taps[i][j] = diff_taps[k];
}
d_diff_filters.emplace_back(d_diff_taps[i]);
}
}
interp_resampler_pfb_mf_ccf::~interp_resampler_pfb_mf_ccf() {}
gr_complex interp_resampler_pfb_mf_ccf::interpolate(const gr_complex input[],
float mu) const
{
int arm = static_cast<int>(rint(mu * d_nfilters));
if (arm < 0 || arm > d_nfilters)
throw std::runtime_error("interp_resampler_pfb_mf_ccf: mu is not "
"in the range [0.0, 1.0]");
return d_filters[arm].filter(input);
}
gr_complex interp_resampler_pfb_mf_ccf::differentiate(const gr_complex input[],
float mu) const
{
int arm = static_cast<int>(rint(mu * d_nfilters));
if (arm < 0 || arm > d_nfilters)
throw std::runtime_error("interp_resampler_pfb_mf_ccf: mu is not "
"in the range [0.0, 1.0]");
return d_diff_filters[arm].filter(input);
}
unsigned int interp_resampler_pfb_mf_ccf::ntaps() const { return d_taps_per_filter; }
/*************************************************************************/
interp_resampler_pfb_mf_fff::interp_resampler_pfb_mf_fff(const std::vector<float>& taps,
int nfilts,
bool derivative)
: interpolating_resampler_fff(IR_PFB_MF, derivative),
d_nfilters(nfilts),
d_taps_per_filter(static_cast<unsigned int>(
ceil(static_cast<double>(taps.size()) / static_cast<double>(nfilts))))
{
if (d_nfilters <= 1)
throw std::invalid_argument("interpolating_resampler_pfb_mf_fff: "
"number of polyphase filter arms "
"must be greater than 1");
if (taps.size() < static_cast<unsigned int>(d_nfilters))
throw std::invalid_argument("interpolating_resampler_pfb_mf_fff: "
"length of the prototype filter taps"
" must be greater than or equal to "
"the number of polyphase filter arms.");
// Create a derivative filter from the provided taps
// First create a truncated ideal differentiator filter
int ideal_diff_filt_len = 3; // Must be odd; rest of init assumes odd.
std::vector<float> ideal_diff_taps(ideal_diff_filt_len, 0.0f);
int i, n;
n = ideal_diff_taps.size() / 2;
for (i = -n; i < 0; i++) {
ideal_diff_taps[i + n] = (-i & 1) == 1 ? -1.0f / i : 1.0f / i;
ideal_diff_taps[n - i] = -ideal_diff_taps[i + n];
}
ideal_diff_taps[n] = 0.0f;
// Perform linear convolution of prototype filter taps and the truncated
// ideal differentiator taps to generate a derivative matched filter.
// N.B. the truncated ideal differentiator taps must have an odd length
int j, k, l, m;
m = ideal_diff_taps.size();
n = taps.size();
l = m + n - 1; // length of convolution
std::deque<float> diff_taps(l, 0.0f);
for (i = 0; i < l; i++) {
for (j = 0; j < m; j++) {
k = i + j - (m - 1);
if (k < 0 || k >= n)
continue;
diff_taps[i] += ideal_diff_taps[(m - 1) - j] * taps[k];
}
}
// Trim the convolution so the prototype derivative filter is the same
// length as the passed in prototype filter taps.
n = ideal_diff_taps.size() / 2;
for (i = 0; i < n; i++) {
diff_taps.pop_back();
diff_taps.pop_front();
}
// Squash the differentiation noise spikes at the filter ends.
diff_taps[0] = 0.0f;
diff_taps[diff_taps.size() - 1] = 0.0f;
// Normalize the prototype derviative filter gain to the number of
// filter arms
n = diff_taps.size();
float mag = 0.0f;
for (i = 0; i < n; i++)
mag += fabsf(diff_taps[i]);
for (i = 0; i < n; i++) {
diff_taps[i] *= d_nfilters / mag;
if (d_derivative && std::isnan(diff_taps[i]))
throw std::runtime_error("interpolating_resampler_pfb_mf_fff: "
"NaN error creating derivative filter.");
}
// Create our polyphase filter arms for the steps from 0.0 to 1.0 from
// the prototype matched filter.
// N.B. We create an extra final row for an offset of 1.0, because it's
// easier than dealing with wrap around from 0.99... to 0.0 shifted
// by 1 tap.
d_filters.reserve(d_nfilters + 1);
d_diff_filters.reserve(d_nfilters + 1);
m = taps.size();
n = diff_taps.size();
d_taps.resize(d_nfilters + 1);
d_diff_taps.resize(d_nfilters + 1);
signed int taps_per_filter = static_cast<signed int>(d_taps_per_filter);
for (i = 0; i <= d_nfilters; i++) {
d_taps[i] = std::vector<float>(d_taps_per_filter, 0.0f);
for (j = 0; j < taps_per_filter; j++) {
k = i + j * d_nfilters;
if (k < m)
d_taps[i][j] = taps[k];
}
d_filters.emplace_back(d_taps[i]);
if (!d_derivative)
continue;
d_diff_taps[i] = std::vector<float>(d_taps_per_filter, 0.0f);
for (j = 0; j < taps_per_filter; j++) {
k = i + j * d_nfilters;
if (k < n)
d_diff_taps[i][j] = diff_taps[k];
}
d_diff_filters.emplace_back(d_diff_taps[i]);
}
}
interp_resampler_pfb_mf_fff::~interp_resampler_pfb_mf_fff() {}
float interp_resampler_pfb_mf_fff::interpolate(const float input[], float mu) const
{
int arm = static_cast<int>(rint(mu * d_nfilters));
if (arm < 0 || arm > d_nfilters)
throw std::runtime_error("interp_resampler_pfb_mf_fff: mu is not "
"in the range [0.0, 1.0]");
return d_filters[arm].filter(input);
}
float interp_resampler_pfb_mf_fff::differentiate(const float input[], float mu) const
{
int arm = static_cast<int>(rint(mu * d_nfilters));
if (arm < 0 || arm > d_nfilters)
throw std::runtime_error("interp_resampler_pfb_mf_fff: mu is not "
"in the range [0.0, 1.0]");
return d_diff_filters[arm].filter(input);
}
unsigned int interp_resampler_pfb_mf_fff::ntaps() const { return d_taps_per_filter; }
} /* namespace digital */
} /* namespace gr */
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