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sdrangel/sdrbase/dsp/fftfilt.cxx

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// ----------------------------------------------------------------------------
// fftfilt.cxx -- Fast convolution Overlap-Add filter
//
// Filter implemented using overlap-add FFT convolution method
// h(t) characterized by Windowed-Sinc impulse response
//
// Reference:
// "The Scientist and Engineer's Guide to Digital Signal Processing"
// by Dr. Steven W. Smith, http://www.dspguide.com
// Chapters 16, 18 and 21
//
// Copyright (C) 2006-2008 Dave Freese, W1HKJ
//
// This file is part of fldigi.
//
// Fldigi 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 of the License, or
// (at your option) any later version.
//
// Fldigi 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 fldigi. If not, see <http://www.gnu.org/licenses/>.
// ----------------------------------------------------------------------------
#include <memory.h>
#include <iostream>
#include <fstream>
#include <cstdlib>
#include <cmath>
#include <typeinfo>
#include <stdio.h>
#include <sys/types.h>
#include <unistd.h>
#include <memory.h>
#include <dsp/misc.h>
#include <dsp/fftfilt.h>
//------------------------------------------------------------------------------
// initialize the filter
// create forward and reverse FFTs
//------------------------------------------------------------------------------
// Only need a single instance of g_fft, used for both forward and reverse
void fftfilt::init_filter()
{
flen2 = flen >> 1;
fft = new g_fft<float>(flen);
filter = new cmplx[flen];
timedata = new cmplx[flen];
freqdata = new cmplx[flen];
output = new cmplx[flen];
ovlbuf = new cmplx[flen2];
ht = new cmplx[flen];
memset(filter, 0, flen * sizeof(cmplx));
memset(timedata, 0, flen * sizeof(cmplx));
memset(freqdata, 0, flen * sizeof(cmplx));
memset(output, 0, flen * sizeof(cmplx));
memset(ovlbuf, 0, flen2 * sizeof(cmplx));
memset(ht, 0, flen * sizeof(cmplx));
inptr = 0;
}
//------------------------------------------------------------------------------
// fft filter
// f1 < f2 ==> band pass filter
// f1 > f2 ==> band reject filter
// f1 == 0 ==> low pass filter
// f2 == 0 ==> high pass filter
//------------------------------------------------------------------------------
fftfilt::fftfilt(float f1, float f2, int len)
{
flen = len;
init_filter();
create_filter(f1, f2);
}
fftfilt::~fftfilt()
{
if (fft) delete fft;
if (filter) delete [] filter;
if (timedata) delete [] timedata;
if (freqdata) delete [] freqdata;
if (output) delete [] output;
if (ovlbuf) delete [] ovlbuf;
if (ht) delete [] ht;
}
void fftfilt::create_filter(float f1, float f2)
{
// initialize the filter to zero
memset(ht, 0, flen * sizeof(cmplx));
// create the filter shape coefficients by fft
// filter values initialized to the ht response h(t)
bool b_lowpass, b_highpass;//, window;
b_lowpass = (f2 != 0);
b_highpass = (f1 != 0);
for (int i = 0; i < flen2; i++) {
ht[i] = 0;
//combine lowpass / highpass
// lowpass @ f2
if (b_lowpass) ht[i] += fsinc(f2, i, flen2);
// highighpass @ f1
if (b_highpass) ht[i] -= fsinc(f1, i, flen2);
}
// highpass is delta[flen2/2] - h(t)
if (b_highpass && f2 < f1) ht[flen2 / 2] += 1;
for (int i = 0; i < flen2; i++)
ht[i] *= _blackman(i, flen2);
// this may change since green fft is in place fft
memcpy(filter, ht, flen * sizeof(cmplx));
// ht is flen complex points with imaginary all zero
// first half describes h(t), second half all zeros
// perform the cmplx forward fft to obtain H(w)
// filter is flen/2 complex values
fft->ComplexFFT(filter);
// normalize the output filter for unity gain
float scale = 0, mag;
for (int i = 0; i < flen2; i++) {
mag = abs(filter[i]);
if (mag > scale) scale = mag;
}
if (scale != 0) {
for (int i = 0; i < flen; i++)
filter[i] /= scale;
}
}
// Filter with fast convolution (overlap-add algorithm).
int fftfilt::run(const cmplx & in, cmplx **out)
{
timedata[inptr++] = in;
if (inptr < flen2)
return 0;
inptr = 0;
memcpy(freqdata, timedata, flen * sizeof(cmplx));
fft->ComplexFFT(freqdata);
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// Discard negative frequencies for ssb
for (int i = 0; i < flen2; i++) {
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freqdata[i] *= filter[i];
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freqdata[flen2 + i] = 0;
}
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fft->InverseComplexFFT(freqdata);
// overlap and add
for (int i = 0; i < flen2; i++) {
output[i] = ovlbuf[i] + freqdata[i];
ovlbuf[i] = freqdata[i+flen2];
}
*out = output;
return flen2;
}