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322 lines
7.4 KiB
C++
322 lines
7.4 KiB
C++
// ----------------------------------------------------------------------------
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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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data = new cmplx[flen];
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output = new cmplx[flen2];
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ovlbuf = new cmplx[flen2];
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memset(filter, 0, flen * sizeof(cmplx));
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memset(data, 0, flen * sizeof(cmplx));
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memset(output, 0, flen2 * sizeof(cmplx));
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memset(ovlbuf, 0, flen2 * 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(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_dsb_filter(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 (data) delete [] data;
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if (output) delete [] output;
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if (ovlbuf) delete [] ovlbuf;
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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(filter, 0, flen * sizeof(cmplx));
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// create the filter shape coefficients by fft
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bool b_lowpass, b_highpass;
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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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filter[i] = 0;
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// lowpass @ f2
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if (b_lowpass)
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filter[i] += fsinc(f2, i, flen2);
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// highighpass @ f1
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if (b_highpass)
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filter[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)
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filter[flen2 / 2] += 1;
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for (int i = 0; i < flen2; i++)
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filter[i] *= _blackman(i, flen2);
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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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// Double the size of FFT used for equivalent SSB filter or assume FFT is half the size of the one used for SSB
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void fftfilt::create_dsb_filter(float f2)
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{
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// initialize the filter to zero
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memset(filter, 0, flen * sizeof(cmplx));
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for (int i = 0; i < flen2; i++) {
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filter[i] = fsinc(f2, i, flen2);
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filter[i] *= _blackman(i, flen2);
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}
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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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// test bypass
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int fftfilt::noFilt(const cmplx & in, cmplx **out)
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{
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data[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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*out = data;
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return flen2;
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}
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// Filter with fast convolution (overlap-add algorithm).
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int fftfilt::runFilt(const cmplx & in, cmplx **out)
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{
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data[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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fft->ComplexFFT(data);
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for (int i = 0; i < flen; i++)
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data[i] *= filter[i];
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fft->InverseComplexFFT(data);
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for (int i = 0; i < flen2; i++) {
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output[i] = ovlbuf[i] + data[i];
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ovlbuf[i] = data[flen2 + i];
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}
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memset (data, 0, flen * sizeof(cmplx));
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*out = output;
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return flen2;
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}
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// Second version for single sideband
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int fftfilt::runSSB(const cmplx & in, cmplx **out, bool usb)
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{
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data[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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fft->ComplexFFT(data);
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// Discard frequencies for ssb
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if ( usb )
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for (int i = 0; i < flen2; i++) {
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data[i] *= filter[i];
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data[flen2 + i] = 0;
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}
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else
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for (int i = 0; i < flen2; i++) {
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data[i] = 0;
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data[flen2 + i] *= filter[flen2 + i];
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}
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// in-place FFT: freqdata overwritten with filtered timedata
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fft->InverseComplexFFT(data);
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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] + data[i];
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ovlbuf[i] = data[i+flen2];
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}
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memset (data, 0, flen * sizeof(cmplx));
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*out = output;
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return flen2;
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}
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// Version for double sideband. You have to double the FFT size used for SSB.
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int fftfilt::runDSB(const cmplx & in, cmplx **out)
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{
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data[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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fft->ComplexFFT(data);
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for (int i = 0; i < flen2; i++) {
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data[i] *= filter[i];
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data[flen2 + i] *= filter[flen2 + i];
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}
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// in-place FFT: freqdata overwritten with filtered timedata
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fft->InverseComplexFFT(data);
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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] + data[i];
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ovlbuf[i] = data[i+flen2];
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}
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memset (data, 0, flen * sizeof(cmplx));
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*out = output;
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return flen2;
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}
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/* Sliding FFT from Fldigi */
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struct sfft::vrot_bins_pair {
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cmplx vrot;
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cmplx bins;
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} ;
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sfft::sfft(int len)
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{
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vrot_bins = new vrot_bins_pair[len];
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delay = new cmplx[len];
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fftlen = len;
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first = 0;
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last = len - 1;
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ptr = 0;
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double phi = 0.0, tau = 2.0 * M_PI/ len;
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k2 = 1.0;
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for (int i = 0; i < len; i++) {
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vrot_bins[i].vrot = cmplx( K1 * cos (phi), K1 * sin (phi) );
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phi += tau;
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delay[i] = vrot_bins[i].bins = 0.0;
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k2 *= K1;
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}
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}
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sfft::~sfft()
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{
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delete [] vrot_bins;
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delete [] delay;
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}
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// Sliding FFT, cmplx input, cmplx output
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// FFT is computed for each value from first to last
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// Values are not stable until more than "len" samples have been processed.
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void sfft::run(const cmplx& input)
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{
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cmplx & de = delay[ptr];
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const cmplx z( input.real() - k2 * de.real(), input.imag() - k2 * de.imag());
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de = input;
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if (++ptr >= fftlen)
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ptr = 0;
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for (vrot_bins_pair *itr = vrot_bins + first, *end = vrot_bins + last; itr != end ; ++itr)
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itr->bins = (itr->bins + z) * itr->vrot;
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}
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// Copies the frequencies to a pointer.
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void sfft::fetch(float *result)
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{
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for (vrot_bins_pair *itr = vrot_bins, *end = vrot_bins + last; itr != end; ++itr, ++result)
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*result = itr->bins.real() * itr->bins.real()
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+ itr->bins.imag() * itr->bins.imag();
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}
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