2014-06-27 12:36:13 -04:00
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// ----------------------------------------------------------------------------
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// fftfilt.cxx -- Fast convolution Overlap-Add filter
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//
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// Filter implemented using overlap-add FFT convolution method
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// h(t) characterized by Windowed-Sinc impulse response
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//
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// Reference:
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// "The Scientist and Engineer's Guide to Digital Signal Processing"
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// by Dr. Steven W. Smith, http://www.dspguide.com
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// Chapters 16, 18 and 21
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//
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// Copyright (C) 2006-2008 Dave Freese, W1HKJ
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//
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// This file is part of fldigi.
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//
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// Fldigi is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// Fldigi 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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//
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// You should have received a copy of the GNU General Public License
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// along with fldigi. If not, see <http://www.gnu.org/licenses/>.
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// ----------------------------------------------------------------------------
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#include <memory.h>
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#include <iostream>
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#include <fstream>
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#include <cstdlib>
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#include <cmath>
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#include <typeinfo>
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#include <stdio.h>
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#include <sys/types.h>
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#include <unistd.h>
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#include <memory.h>
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#include <dsp/misc.h>
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#include <dsp/fftfilt.h>
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//------------------------------------------------------------------------------
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// initialize the filter
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// create forward and reverse FFTs
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//------------------------------------------------------------------------------
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// Only need a single instance of g_fft, used for both forward and reverse
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void fftfilt::init_filter()
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{
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flen2 = flen >> 1;
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fft = new g_fft<float>(flen);
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filter = new cmplx[flen];
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timedata = new cmplx[flen];
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freqdata = new cmplx[flen];
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output = new cmplx[flen];
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ovlbuf = new cmplx[flen2];
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ht = new cmplx[flen];
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memset(filter, 0, flen * sizeof(cmplx));
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memset(timedata, 0, flen * sizeof(cmplx));
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memset(freqdata, 0, flen * sizeof(cmplx));
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memset(output, 0, flen * sizeof(cmplx));
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memset(ovlbuf, 0, flen2 * sizeof(cmplx));
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memset(ht, 0, flen * sizeof(cmplx));
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inptr = 0;
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}
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//------------------------------------------------------------------------------
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// fft filter
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// f1 < f2 ==> band pass filter
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// f1 > f2 ==> band reject filter
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// f1 == 0 ==> low pass filter
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// f2 == 0 ==> high pass filter
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//------------------------------------------------------------------------------
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fftfilt::fftfilt(float f1, float f2, int len)
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{
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flen = len;
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init_filter();
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create_filter(f1, f2);
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}
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fftfilt::~fftfilt()
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{
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if (fft) delete fft;
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if (filter) delete [] filter;
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if (timedata) delete [] timedata;
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if (freqdata) delete [] freqdata;
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if (output) delete [] output;
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if (ovlbuf) delete [] ovlbuf;
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if (ht) delete [] ht;
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}
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void fftfilt::create_filter(float f1, float f2)
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{
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// initialize the filter to zero
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memset(ht, 0, flen * sizeof(cmplx));
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// create the filter shape coefficients by fft
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// filter values initialized to the ht response h(t)
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bool b_lowpass, b_highpass;//, window;
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b_lowpass = (f2 != 0);
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b_highpass = (f1 != 0);
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for (int i = 0; i < flen2; i++) {
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ht[i] = 0;
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//combine lowpass / highpass
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// lowpass @ f2
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if (b_lowpass) ht[i] += fsinc(f2, i, flen2);
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// highighpass @ f1
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if (b_highpass) ht[i] -= fsinc(f1, i, flen2);
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}
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// highpass is delta[flen2/2] - h(t)
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if (b_highpass && f2 < f1) ht[flen2 / 2] += 1;
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for (int i = 0; i < flen2; i++)
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ht[i] *= _blackman(i, flen2);
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// this may change since green fft is in place fft
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memcpy(filter, ht, flen * sizeof(cmplx));
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// ht is flen complex points with imaginary all zero
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// first half describes h(t), second half all zeros
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// perform the cmplx forward fft to obtain H(w)
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// filter is flen/2 complex values
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fft->ComplexFFT(filter);
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// normalize the output filter for unity gain
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float scale = 0, mag;
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for (int i = 0; i < flen2; i++) {
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mag = abs(filter[i]);
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if (mag > scale) scale = mag;
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}
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if (scale != 0) {
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for (int i = 0; i < flen; i++)
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filter[i] /= scale;
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}
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}
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// Filter with fast convolution (overlap-add algorithm).
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int fftfilt::run(const cmplx & in, cmplx **out)
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{
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timedata[inptr++] = in;
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if (inptr < flen2)
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return 0;
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inptr = 0;
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memcpy(freqdata, timedata, flen * sizeof(cmplx));
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fft->ComplexFFT(freqdata);
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2014-06-29 17:01:56 -04:00
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// Discard negative frequencies for ssb
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for (int i = 0; i < flen2; i++) {
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2014-06-27 12:36:13 -04:00
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freqdata[i] *= filter[i];
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2014-06-29 17:01:56 -04:00
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freqdata[flen2 + i] = 0;
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}
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2014-06-27 12:36:13 -04:00
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fft->InverseComplexFFT(freqdata);
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// overlap and add
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for (int i = 0; i < flen2; i++) {
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output[i] = ovlbuf[i] + freqdata[i];
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ovlbuf[i] = freqdata[i+flen2];
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}
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*out = output;
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return flen2;
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}
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