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/* gaussian.c
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This file is part of a program that implements a Software-Defined Radio.
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Copyright (C) 2025-2026 Warren Pratt, NR0V
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This program is free software; you can redistribute it and/or
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modify it under the terms of the GNU General Public License
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as published by the Free Software Foundation; either version 2
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of the License, or (at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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The author can be reached by email at
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warren@pratt.one
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*/
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#define _CRT_SECURE_NO_WARNINGS
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#include "comm.h"
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static int calc_nc (double fwhm, double nsigma, double rate)
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{
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int nc;
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double fsigma = fwhm / 2.35482;
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double sigma = 1.0 / (2.0 * PI * fsigma);
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nc = (int)ceil (2.0 * nsigma * sigma * rate);
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nc--;
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nc |= nc >> 1;
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nc |= nc >> 2;
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nc |= nc >> 4;
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nc |= nc >> 8;
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nc |= nc >> 16;
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nc++;
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if (nc < 1024) nc = 1024;
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return nc;
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}
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double* build_gaussian(int nc, double rate, double f, double fwhm, double scale, double nsigma)
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{
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// nc - number of impulse response values, IS EVEN FOR THE FOLLOWING CODE
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// rate - sample_rate (samples/second)
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// f - center frequency (Hz)
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// fwhm - bandwidth (Hz)
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// scale - scale factor to apply to impulse response
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// nsigma - number of sigma to extend on each side of center
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double fsigma = fwhm / 2.35482;
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double sigma = 1.0 / (2.0 * PI * fsigma);
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double* impulse = (double*)malloc0 (nc * sizeof(double));
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double delta = 1.0 / rate;
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int i, j;
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double x, y;
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double gmult = 1.0 / (sqrt (2.0 * PI) * sigma);
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double gdiv = 1.0 / (2.0 * sigma * sigma);
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double sum = 0.0;
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for (i = 0, y = -((double)(nc - 1) / 2.0); i < nc; i++, y += 1.0)
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{
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x = y * delta;
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impulse[i] = gmult * exp (-(x * x) * gdiv);
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sum += impulse[i];
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}
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for (i = 0; i < nc; i++)
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{
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impulse[i] *= (scale / sum);
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}
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// print_impulse("gaussian.txt", nc, impulse, 0, 0);
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double* c_impulse = (double*)malloc0 (nc * sizeof(complex));
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double w_osc = -2.0 * PI * f / rate;
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double m = 0.5 * (double)(nc - 1);
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double posi, posj;
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double coef;
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for (i = (nc + 1) / 2, j = nc / 2 - 1; i < nc; i++, j--)
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{
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posi = (double)i - m;
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posj = (double)j - m;
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coef = impulse[j];
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c_impulse[2 * i + 0] = +coef * cos(posi * w_osc);
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c_impulse[2 * i + 1] = -coef * sin(posi * w_osc);
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c_impulse[2 * j + 0] = +coef * cos(posj * w_osc);
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c_impulse[2 * j + 1] = -coef * sin(posj * w_osc);
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}
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// print_impulse("c_gaussian.txt", nc, c_impulse, 1, 0);
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_aligned_free (impulse);
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return c_impulse;
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}
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/********************************************************************************************************
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* *
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* Partitioned Overlap-Save Gaussian *
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* *
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********************************************************************************************************/
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GAUSSIAN create_gaussian (int run, int position, int size, int nc, double* in, double* out,
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double f_center, double bandwidth, int samplerate, double gain, double nsigma, int mode)
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{
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GAUSSIAN a = (GAUSSIAN)malloc0 (sizeof(gaussian));
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double* impulse;
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a->run = run;
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a->position = position;
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a->size = size;
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a->nc = nc;
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a->in = in;
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a->out = out;
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a->f_center = f_center;
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a->bandwidth = bandwidth;
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a->samplerate = samplerate;
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a->gain = gain;
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a->scale = a->gain / (double)(2 * a->size);
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a->nsigma = nsigma;
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a->mode = mode;
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a->nc_default = a->nc;
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if (a->nc == 0) a->nc = calc_nc (a->bandwidth, a->nsigma, a->samplerate);
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if (a->size > a->nc) a->nc = a->size;
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impulse = build_gaussian (a->nc, (double)a->samplerate, a->f_center, a->bandwidth, a->scale, a->nsigma);
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a->p = create_fircore (a->size, a->in, a->out, a->nc, 0, impulse);
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_aligned_free (impulse);
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return a;
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}
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void destroy_gaussian (GAUSSIAN a)
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{
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destroy_fircore (a->p);
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_aligned_free (a);
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}
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void flush_gaussian (GAUSSIAN a)
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{
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flush_fircore (a->p);
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}
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void xgaussian (GAUSSIAN a, int pos)
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{
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if (a->run && a->position == pos)
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{
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// 'mode == 0' => CWL
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if (a->mode == 1) // CWU
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{
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for (int i = 0; i < a->size; i++)
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a->in[2 * i + 1] *= -1.0;
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}
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if (a->mode == 2) // CWL + CWU
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{
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for (int i = 0; i < a->size; i++)
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a->in[2 * i + 1] = a->in[2 * i + 0];
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}
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xfircore(a->p);
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}
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else if (a->out != a->in)
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memcpy (a->out, a->in, a->size * sizeof(complex));
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}
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void setBuffers_gaussian (GAUSSIAN a, double* in, double* out)
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{
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a->in = in;
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a->out = out;
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setBuffers_fircore (a->p, a->in, a->out);
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}
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void setSamplerate_gaussian (GAUSSIAN a, int rate)
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{
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a->samplerate = rate;
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int nc = a->nc;
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a->nc = a->nc_default;
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if (a->nc == 0) a->nc = calc_nc (a->bandwidth, a->nsigma, a->samplerate);
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if (a->size > a->nc) a->nc = a->size;
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double* impulse = build_gaussian (a->nc, (double)a->samplerate, a->f_center, a->bandwidth, a->scale, a->nsigma);
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if (nc == a->nc) setImpulse_fircore (a->p, impulse, 1);
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else setNc_fircore (a->p, a->nc, impulse);
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_aligned_free (impulse);
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}
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void setSize_gaussian (GAUSSIAN a, int size)
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{
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a->size = size;
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setSize_fircore (a->p, a->size);
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a->scale = a->gain / (double)(2 * a->size);
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int nc = a->nc;
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a->nc = a->nc_default;
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if (a->nc == 0) a->nc = calc_nc (a->bandwidth, a->nsigma, a->samplerate);
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if (a->size > a->nc) a->nc = a->size;
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double* impulse = build_gaussian (a->nc, (double)a->samplerate, a->f_center, a->bandwidth, a->scale, a->nsigma);
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if (nc == a->nc) setImpulse_fircore (a->p, impulse, 1);
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else setNc_fircore (a->p, a->nc, impulse);
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_aligned_free (impulse);
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}
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void setGain_gaussian (GAUSSIAN a, double gain)
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{
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a->gain = gain;
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a->scale = a->gain / (double)(2 * a->size);
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double* impulse = build_gaussian (a->nc, (double)a->samplerate, a->f_center, a->bandwidth, a->scale, a->nsigma);
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setImpulse_fircore (a->p, impulse, 1);
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_aligned_free (impulse);
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}
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void CalcGaussianFilter (GAUSSIAN a, double f_center, double bandwidth, double gain)
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{
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double* impulse;
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if ((a->f_center != f_center) || (a->bandwidth != bandwidth) || (a->gain != gain))
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{
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a->f_center = f_center;
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a->bandwidth = bandwidth;
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a->gain = gain;
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a->scale = a->gain / (double)(2 * a->size);
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int nc = a->nc;
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a->nc = a->nc_default;
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if (a->nc == 0) a->nc = calc_nc (a->bandwidth, a->nsigma, a->samplerate);
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if (a->size > a->nc) a->nc = a->size;
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impulse = build_gaussian (a->nc, (double)a->samplerate, a->f_center, a->bandwidth, a->scale, a->nsigma);
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if (nc == a->nc) setImpulse_fircore (a->p, impulse, 1);
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else setNc_fircore (a->p, a->nc, impulse);
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_aligned_free (impulse);
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}
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}
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/********************************************************************************************************
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* *
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* RXA Properties *
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* *
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********************************************************************************************************/
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PORT
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void SetRXAGaussianRun (int channel, int run)
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{
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GAUSSIAN a = rxa[channel].gaussian.p;
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EnterCriticalSection (&ch[channel].csDSP);
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a->run = run;
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LeaveCriticalSection (&ch[channel].csDSP);
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}
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PORT
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void SetRXAGaussianFreqs (int channel, double f_center, double bandwidth)
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{
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GAUSSIAN a = rxa[channel].gaussian.p;
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EnterCriticalSection (&ch[channel].csDSP);
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CalcGaussianFilter (a, f_center, bandwidth, a->gain);
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LeaveCriticalSection (&ch[channel].csDSP);
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}
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PORT
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void SetRXAGaussianGain (int channel, double gain)
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{
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GAUSSIAN a = rxa[channel].gaussian.p;
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EnterCriticalSection (&ch[channel].csDSP);
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CalcGaussianFilter (a, a->f_center, a->bandwidth, gain);
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LeaveCriticalSection (&ch[channel].csDSP);
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}
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PORT
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void SetRXAGaussianNC (int channel, int nc)
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{
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double* impulse;
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GAUSSIAN a = rxa[channel].gaussian.p;
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EnterCriticalSection (&ch[channel].csDSP);
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if (nc != a->nc || nc == 0)
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{
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a->nc = nc;
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a->nc_default = a->nc;
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if (a->nc == 0) a->nc = calc_nc (a->bandwidth, a->nsigma, a->samplerate);
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if (a->size > a->nc) a->nc = a->size;
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impulse = build_gaussian (a->nc, (double)a->samplerate, a->f_center, a->bandwidth, a->scale, a->nsigma);
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setNc_fircore (a->p, a->nc, impulse);
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_aligned_free (impulse);
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}
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LeaveCriticalSection (&ch[channel].csDSP);
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}
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