mirror of
https://github.com/f4exb/sdrangel.git
synced 2024-11-21 15:51:47 -05:00
457 lines
14 KiB
C++
457 lines
14 KiB
C++
/* fir.c
|
|
|
|
This file is part of a program that implements a Software-Defined Radio.
|
|
|
|
Copyright (C) 2013, 2016, 2022 Warren Pratt, NR0V
|
|
Copyright (C) 2024 Edouard Griffiths, F4EXB Adapted to SDRangel
|
|
|
|
This program 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 2
|
|
of the License, or (at your option) any later version.
|
|
|
|
This program 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 this program; if not, write to the Free Software
|
|
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
|
|
|
|
The author can be reached by email at
|
|
|
|
warren@pratt.one
|
|
*/
|
|
|
|
#define _CRT_SECURE_NO_WARNINGS
|
|
|
|
#include <limits>
|
|
#include <vector>
|
|
|
|
#include "fftw3.h"
|
|
#include "comm.hpp"
|
|
#include "fir.hpp"
|
|
|
|
namespace WDSP {
|
|
|
|
void FIR::fftcv_mults (std::vector<float>& mults, int NM, const float* c_impulse)
|
|
{
|
|
mults.resize(NM * 2);
|
|
std::vector<float> cfft_impulse(NM * 2);
|
|
fftwf_plan ptmp = fftwf_plan_dft_1d(
|
|
NM,
|
|
(fftwf_complex *) cfft_impulse.data(),
|
|
(fftwf_complex *) mults.data(),
|
|
FFTW_FORWARD,
|
|
FFTW_PATIENT
|
|
);
|
|
std::fill(cfft_impulse.begin(), cfft_impulse.end(), 0);
|
|
// store complex coefs right-justified in the buffer
|
|
std::copy(c_impulse, c_impulse + (NM / 2 + 1) * 2, &(cfft_impulse[NM - 2]));
|
|
fftwf_execute (ptmp);
|
|
fftwf_destroy_plan (ptmp);
|
|
}
|
|
|
|
void FIR::get_fsamp_window(std::vector<float>& window, int N, int wintype)
|
|
{
|
|
double arg0;
|
|
double arg1;
|
|
window.resize(N);
|
|
switch (wintype)
|
|
{
|
|
case 0:
|
|
arg0 = 2.0 * PI / ((double)N - 1.0);
|
|
for (int i = 0; i < N; i++)
|
|
{
|
|
arg1 = cos(arg0 * (double)i);
|
|
double val = +0.21747
|
|
+ arg1 * (-0.45325
|
|
+ arg1 * (+0.28256
|
|
+ arg1 * (-0.04672)));
|
|
window[i] = (float) val;
|
|
}
|
|
break;
|
|
case 1:
|
|
arg0 = 2.0 * PI / ((double)N - 1.0);
|
|
for (int i = 0; i < N; ++i)
|
|
{
|
|
arg1 = cos(arg0 * (double)i);
|
|
double val = +6.3964424114390378e-02
|
|
+ arg1 * (-2.3993864599352804e-01
|
|
+ arg1 * (+3.5015956323820469e-01
|
|
+ arg1 * (-2.4774111897080783e-01
|
|
+ arg1 * (+8.5438256055858031e-02
|
|
+ arg1 * (-1.2320203369293225e-02
|
|
+ arg1 * (+4.3778825791773474e-04))))));
|
|
window[i] = (float) val;
|
|
}
|
|
break;
|
|
default:
|
|
for (int i = 0; i < N; i++)
|
|
window[i] = 1.0;
|
|
}
|
|
}
|
|
|
|
void FIR::fir_fsamp_odd (std::vector<float>& c_impulse, int N, const float* A, int rtype, double scale, int wintype)
|
|
{
|
|
int mid = (N - 1) / 2;
|
|
double mag;
|
|
double phs;
|
|
std::vector<float> fcoef(N * 2);
|
|
fftwf_plan ptmp = fftwf_plan_dft_1d(
|
|
N,
|
|
(fftwf_complex *)fcoef.data(),
|
|
(fftwf_complex *)c_impulse.data(),
|
|
FFTW_BACKWARD,
|
|
FFTW_PATIENT
|
|
);
|
|
double local_scale = 1.0 / (double) N;
|
|
for (int i = 0; i <= mid; i++)
|
|
{
|
|
mag = A[i] * local_scale;
|
|
phs = - (double)mid * TWOPI * (double)i / (double)N;
|
|
fcoef[2 * i + 0] = (float) (mag * cos (phs));
|
|
fcoef[2 * i + 1] = (float) (mag * sin (phs));
|
|
}
|
|
for (int i = mid + 1, j = 0; i < N; i++, j++)
|
|
{
|
|
fcoef[2 * i + 0] = + fcoef[2 * (mid - j) + 0];
|
|
fcoef[2 * i + 1] = - fcoef[2 * (mid - j) + 1];
|
|
}
|
|
fftwf_execute (ptmp);
|
|
fftwf_destroy_plan (ptmp);
|
|
std::vector<float> window;
|
|
get_fsamp_window(window, N, wintype);
|
|
switch (rtype)
|
|
{
|
|
case 0:
|
|
for (int i = 0; i < N; i++)
|
|
c_impulse[i] = (float) (scale * c_impulse[2 * i] * window[i]);
|
|
break;
|
|
case 1:
|
|
for (int i = 0; i < N; i++)
|
|
{
|
|
c_impulse[2 * i + 0] *= (float) (scale * window[i]);
|
|
c_impulse[2 * i + 1] = 0.0;
|
|
}
|
|
break;
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
|
|
void FIR::fir_fsamp (std::vector<float>& c_impulse, int N, const float* A, int rtype, double scale, int wintype)
|
|
{
|
|
double sum;
|
|
|
|
if (N & 1)
|
|
{
|
|
int M = (N - 1) / 2;
|
|
for (int n = 0; n < M + 1; n++)
|
|
{
|
|
sum = 0.0;
|
|
for (int k = 1; k < M + 1; k++)
|
|
sum += 2.0 * A[k] * cos(TWOPI * (n - M) * k / N);
|
|
c_impulse[2 * n + 0] = (float) ((1.0 / N) * (A[0] + sum));
|
|
c_impulse[2 * n + 1] = 0.0;
|
|
}
|
|
for (int n = M + 1, j = 1; n < N; n++, j++)
|
|
{
|
|
c_impulse[2 * n + 0] = c_impulse[2 * (M - j) + 0];
|
|
c_impulse[2 * n + 1] = 0.0;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
double M = (double)(N - 1) / 2.0;
|
|
for (int n = 0; n < N / 2; n++)
|
|
{
|
|
sum = 0.0;
|
|
for (int k = 1; k < N / 2; k++)
|
|
sum += 2.0 * A[k] * cos(TWOPI * (n - M) * k / N);
|
|
c_impulse[2 * n + 0] = (float) ((1.0 / N) * (A[0] + sum));
|
|
c_impulse[2 * n + 1] = 0.0;
|
|
}
|
|
for (int n = N / 2, j = 1; n < N; n++, j++)
|
|
{
|
|
c_impulse[2 * n + 0] = c_impulse[2 * (N / 2 - j) + 0];
|
|
c_impulse[2 * n + 1] = 0.0;
|
|
}
|
|
}
|
|
std::vector<float> window;
|
|
get_fsamp_window (window, N, wintype);
|
|
switch (rtype)
|
|
{
|
|
case 0:
|
|
for (int i = 0; i < N; i++)
|
|
c_impulse[i] = (float) (scale * c_impulse[2 * i] * window[i]);
|
|
break;
|
|
case 1:
|
|
for (int i = 0; i < N; i++)
|
|
{
|
|
c_impulse[2 * i + 0] *= (float) (scale * window[i]);
|
|
c_impulse[2 * i + 1] = 0.0;
|
|
}
|
|
break;
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
|
|
void FIR::fir_bandpass (std::vector<float>& c_impulse, int N, double f_low, double f_high, double samplerate, int wintype, int rtype, double scale)
|
|
{
|
|
c_impulse.resize(N * 2);
|
|
double ft = (f_high - f_low) / (2.0 * samplerate);
|
|
double ft_rad = TWOPI * ft;
|
|
double w_osc = PI * (f_high + f_low) / samplerate;
|
|
double m = 0.5 * (double)(N - 1);
|
|
double delta = PI / m;
|
|
double cosphi;
|
|
double posi;
|
|
double posj;
|
|
double sinc;
|
|
double window;
|
|
double coef;
|
|
|
|
if (N & 1)
|
|
{
|
|
switch (rtype)
|
|
{
|
|
case 0:
|
|
c_impulse[N >> 1] = (float) (scale * 2.0 * ft);
|
|
break;
|
|
case 1:
|
|
c_impulse[N - 1] = (float) (scale * 2.0 * ft);
|
|
c_impulse[ N ] = 0.0;
|
|
break;
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
for (int i = (N + 1) / 2, j = N / 2 - 1; i < N; i++, j--)
|
|
{
|
|
posi = (double)i - m;
|
|
posj = (double)j - m;
|
|
sinc = sin (ft_rad * posi) / (PI * posi);
|
|
|
|
if (wintype == 1) // Blackman-Harris 7-term
|
|
{
|
|
cosphi = cos (delta * i);
|
|
window = + 6.3964424114390378e-02
|
|
+ cosphi * ( - 2.3993864599352804e-01
|
|
+ cosphi * ( + 3.5015956323820469e-01
|
|
+ cosphi * ( - 2.4774111897080783e-01
|
|
+ cosphi * ( + 8.5438256055858031e-02
|
|
+ cosphi * ( - 1.2320203369293225e-02
|
|
+ cosphi * ( + 4.3778825791773474e-04 ))))));
|
|
}
|
|
else // Blackman-Harris 4-term
|
|
{
|
|
cosphi = cos (delta * i);
|
|
window = + 0.21747
|
|
+ cosphi * ( - 0.45325
|
|
+ cosphi * ( + 0.28256
|
|
+ cosphi * ( - 0.04672 )));
|
|
}
|
|
|
|
coef = scale * sinc * window;
|
|
|
|
switch (rtype)
|
|
{
|
|
case 0:
|
|
c_impulse[i] = (float) (+ coef * cos (posi * w_osc));
|
|
c_impulse[j] = (float) (+ coef * cos (posj * w_osc));
|
|
break;
|
|
case 1:
|
|
c_impulse[2 * i + 0] = (float) (+ coef * cos (posi * w_osc));
|
|
c_impulse[2 * i + 1] = (float) (- coef * sin (posi * w_osc));
|
|
c_impulse[2 * j + 0] = (float) (+ coef * cos (posj * w_osc));
|
|
c_impulse[2 * j + 1] = (float) (- coef * sin (posj * w_osc));
|
|
break;
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
void FIR::fir_read (std::vector<float>& c_impulse, int N, const char *filename, int rtype, float scale)
|
|
// N = number of real or complex coefficients (see rtype)
|
|
// *filename = filename
|
|
// rtype = 0: real coefficients
|
|
// rtype = 1: complex coefficients
|
|
// scale = a scale factor that will be applied to the returned coefficients;
|
|
// if this is not needed, set it to 1.0
|
|
// NOTE: The number of values in the file must NOT exceed those implied by N and rtype
|
|
{
|
|
FILE *file;
|
|
float I;
|
|
float Q;
|
|
c_impulse.resize(N * 2);
|
|
std::fill(c_impulse.begin(), c_impulse.end(), 0);
|
|
file = fopen (filename, "r");
|
|
|
|
if (!file) {
|
|
return;
|
|
}
|
|
|
|
for (int i = 0; i < N; i++)
|
|
{
|
|
// read in the complex impulse response
|
|
// NOTE: IF the freq response is symmetrical about 0, the imag coeffs will all be zero.
|
|
switch (rtype)
|
|
{
|
|
case 0:
|
|
{
|
|
int r = fscanf (file, "%e", &I);
|
|
fprintf(stderr, "^%d parameters read\n", r);
|
|
c_impulse[i] = + scale * I;
|
|
break;
|
|
}
|
|
case 1:
|
|
{
|
|
int r = fscanf (file, "%e", &I);
|
|
fprintf(stderr, "%d parameters read\n", r);
|
|
r = fscanf (file, "%e", &Q);
|
|
fprintf(stderr, "%d parameters read\n", r);
|
|
c_impulse[2 * i + 0] = + scale * I;
|
|
c_impulse[2 * i + 1] = - scale * Q;
|
|
break;
|
|
}
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
fclose (file);
|
|
}
|
|
|
|
void FIR::analytic (int N, float* in, float* out)
|
|
{
|
|
if (N < 2) {
|
|
return;
|
|
}
|
|
|
|
double inv_N = 1.0 / (double) N;
|
|
double two_inv_N = 2.0 * inv_N;
|
|
std::vector<float> x(N * 2);
|
|
|
|
fftwf_plan pfor = fftwf_plan_dft_1d (
|
|
N,
|
|
(fftwf_complex *) in,
|
|
(fftwf_complex *) x.data(),
|
|
FFTW_FORWARD,
|
|
FFTW_PATIENT
|
|
);
|
|
|
|
fftwf_plan prev = fftwf_plan_dft_1d (
|
|
N,
|
|
(fftwf_complex *) x.data(),
|
|
(fftwf_complex *) out,
|
|
FFTW_BACKWARD,
|
|
FFTW_PATIENT
|
|
);
|
|
|
|
fftwf_execute (pfor);
|
|
x[0] *= (float) inv_N;
|
|
x[1] *= (float) inv_N;
|
|
|
|
for (int i = 1; i < N / 2; i++)
|
|
{
|
|
x[2 * i + 0] *= (float) two_inv_N;
|
|
x[2 * i + 1] *= (float) two_inv_N;
|
|
}
|
|
|
|
x[N + 0] *= (float) inv_N;
|
|
x[N + 1] *= (float) inv_N;
|
|
memset (&x[N + 2], 0, (N - 2) * sizeof (float));
|
|
fftwf_execute (prev);
|
|
fftwf_destroy_plan (prev);
|
|
fftwf_destroy_plan (pfor);
|
|
}
|
|
|
|
void FIR::mp_imp (int N, std::vector<float>& fir, std::vector<float>& mpfir, int pfactor, int polarity)
|
|
{
|
|
int i;
|
|
int size = N * pfactor;
|
|
double inv_PN = 1.0 / (double)size;
|
|
std::vector<float> firpad(size * 2);
|
|
std::vector<float> firfreq(size * 2);
|
|
std::vector<double> mag(size);
|
|
std::vector<float> ana(size * 2);
|
|
std::vector<float> impulse(size * 2);
|
|
std::vector<float> newfreq(size * 2);
|
|
std::copy(fir.begin(), fir.begin() + N * 2, firpad.begin());
|
|
fftwf_plan pfor = fftwf_plan_dft_1d (
|
|
size,
|
|
(fftwf_complex *) firpad.data(),
|
|
(fftwf_complex *) firfreq.data(),
|
|
FFTW_FORWARD,
|
|
FFTW_PATIENT);
|
|
fftwf_plan prev = fftwf_plan_dft_1d (
|
|
size,
|
|
(fftwf_complex *) newfreq.data(),
|
|
(fftwf_complex *) impulse.data(),
|
|
FFTW_BACKWARD,
|
|
FFTW_PATIENT
|
|
);
|
|
|
|
fftwf_execute (pfor);
|
|
for (i = 0; i < size; i++)
|
|
{
|
|
double xr = firfreq[2 * i + 0];
|
|
double xi = firfreq[2 * i + 1];
|
|
mag[i] = sqrt (xr*xr + xi*xi) * inv_PN;
|
|
if (mag[i] > 0.0)
|
|
ana[2 * i + 0] = (float) log (mag[i]);
|
|
else
|
|
ana[2 * i + 0] = log (std::numeric_limits<float>::min());
|
|
}
|
|
analytic (size, ana.data(), ana.data());
|
|
for (i = 0; i < size; i++)
|
|
{
|
|
newfreq[2 * i + 0] = (float) (+ mag[i] * cos (ana[2 * i + 1]));
|
|
if (polarity)
|
|
newfreq[2 * i + 1] = (float) (+ mag[i] * sin (ana[2 * i + 1]));
|
|
else
|
|
newfreq[2 * i + 1] = (float) (- mag[i] * sin (ana[2 * i + 1]));
|
|
}
|
|
fftwf_execute (prev);
|
|
if (polarity)
|
|
std::copy(&impulse[2 * (pfactor - 1) * N], &impulse[2 * (pfactor - 1) * N] + N * 2, mpfir.begin());
|
|
else
|
|
std::copy(impulse.begin(), impulse.end(), mpfir.begin());
|
|
|
|
fftwf_destroy_plan (prev);
|
|
fftwf_destroy_plan (pfor);
|
|
}
|
|
|
|
// impulse response of a zero frequency filter comprising a cascade of two resonators,
|
|
// each followed by a detrending filter
|
|
void FIR::zff_impulse(std::vector<float>& c_dresdet, int nc, float scale)
|
|
{
|
|
// nc = number of coefficients (power of two)
|
|
int n_resdet = nc / 2 - 1; // size of single zero-frequency resonator with detrender
|
|
int n_dresdet = 2 * n_resdet - 1; // size of two cascaded units; when we convolve these we get 2 * n - 1 length
|
|
// allocate the single and make the values
|
|
std::vector<float> resdet(n_resdet); // (float*)malloc0 (n_resdet * sizeof(float));
|
|
for (int i = 1, j = 0, k = n_resdet - 1; i < nc / 4; i++, j++, k--)
|
|
resdet[j] = resdet[k] = (float)(i * (i + 1) / 2);
|
|
resdet[nc / 4 - 1] = (float)(nc / 4 * (nc / 4 + 1) / 2);
|
|
// print_impulse ("resdet", n_resdet, resdet, 0, 0);
|
|
// allocate the float and complex versions and make the values
|
|
std::vector<float> dresdet(n_dresdet);
|
|
auto div = (float) ((nc / 2 + 1) * (nc / 2 + 1)); // calculate divisor
|
|
c_dresdet.resize(nc * 2);
|
|
for (int n = 0; n < n_dresdet; n++) // convolve to make the cascade
|
|
{
|
|
for (int k = 0; k < n_resdet; k++)
|
|
if ((n - k) >= 0 && (n - k) < n_resdet)
|
|
dresdet[n] += resdet[k] * resdet[n - k];
|
|
dresdet[n] /= div;
|
|
c_dresdet[2 * n + 0] = dresdet[n] * scale;
|
|
c_dresdet[2 * n + 1] = 0.0;
|
|
}
|
|
}
|
|
|
|
} // namespace WDSP
|