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/////////////////////////////////////////////////
// FFT.cpp : implementation of the FFT class
// short-time fast fourier transform
// Victor Lazzarini, 2003
/////////////////////////////////////////////////
#include "FFT.h"
FFT::FFT(){
m_table = 0;
// hopsize controls decimation
// we have vecsize/hopsize overlapping frames
// the vector size is also equal the fftsize
// so that each call to DoProcess produces a
// new fft frame at the output
// since SndObj has already allocated the output
// we have to reset the vector size
m_fftsize = DEF_FFTSIZE;
SetVectorSize(DEF_FFTSIZE);
m_hopsize = DEF_VECSIZE;
m_frames = m_fftsize/m_hopsize;
m_sigframe = new float*[m_frames];
m_ffttmp = new float[m_fftsize];
m_counter = new int[m_frames];
m_halfsize = m_fftsize/2;
m_fund = m_sr/m_fftsize;
int i;
for(i = 0; i < m_frames; i++){
m_sigframe[i] = new float[m_fftsize];
memset(m_sigframe[i], 0, m_fftsize*sizeof(float));
m_counter[i] = i*m_hopsize;
}
m_plan = rfftw_create_plan(m_fftsize, FFTW_REAL_TO_COMPLEX, FFTW_ESTIMATE);
AddMsg("scale", 21);
AddMsg("fft size", 22);
AddMsg("hop size", 23);
AddMsg("window", 24);
m_scale = 1.f;
m_norm = m_fftsize;
m_cur =0;
}
FFT::FFT(Table* window, SndObj* input, float scale,
int fftsize, int hopsize, float sr):
SndObj(input, fftsize, sr){
m_table = window;
m_hopsize = hopsize;
m_fftsize = fftsize;
m_frames = m_fftsize/m_hopsize;
m_sigframe = new float*[m_frames];
m_ffttmp = new float[m_fftsize];
m_counter = new int[m_frames];
m_halfsize = m_fftsize/2;
m_fund = m_sr/m_fftsize;
int i;
for(i = 0; i < m_frames; i++){
m_sigframe[i] = new float[m_fftsize];
memset(m_sigframe[i], 0, m_fftsize*sizeof(float));
m_counter[i] = i*m_hopsize;
}
m_plan = rfftw_create_plan(m_fftsize, FFTW_REAL_TO_COMPLEX, FFTW_ESTIMATE);
AddMsg("scale", 21);
AddMsg("fft size", 22);
AddMsg("hop size", 23);
AddMsg("window", 24);
m_scale = scale;
m_norm = m_fftsize/m_scale;
m_cur =0;
}
FFT::~FFT(){
rfftw_destroy_plan(m_plan);
delete[] m_counter;
delete[] m_sigframe;
delete[] m_ffttmp;
}
void
FFT::SetFFTSize(int fftsize){
m_vecsize = m_fftsize = fftsize;
ReInit();
}
void
FFT::SetHopSize(int hopsize){
m_hopsize = hopsize;
ReInit();
}
void
FFT::ReInit(){
rfftw_destroy_plan(m_plan);
delete[] m_counter;
delete[] m_sigframe;
delete[] m_ffttmp;
delete[] m_output;
if(!(m_output = new float[m_vecsize])){
m_error = 1;
cout << ErrorMessage();
return;
}
m_frames = m_fftsize/m_hopsize;
m_sigframe = new float*[m_frames];
m_ffttmp = new float[m_fftsize];
m_counter = new int[m_frames];
m_halfsize = m_fftsize/2;
m_fund = m_sr/m_fftsize;
int i;
for(i = 0; i < m_frames; i++){
m_sigframe[i] = new float[m_fftsize];
memset(m_sigframe[i], 0, m_fftsize*sizeof(float));
m_counter[i] = i*m_hopsize;
}
m_plan = rfftw_create_plan(m_vecsize, FFTW_REAL_TO_COMPLEX, FFTW_ESTIMATE);
m_cur =0;
m_norm = m_fftsize/m_scale;
}
int
FFT::Set(char* mess, float value){
switch(FindMsg(mess)){
case 21:
SetScale(value);
return 1;
case 22:
SetFFTSize((int) value);
return 1;
case 23:
SetHopSize((int) value);
return 1;
default:
return SndObj::Set(mess, value);
}
}
int
FFT::Connect(char* mess, void *input){
switch(FindMsg(mess)){
case 24:
SetWindow((Table *) input);
return 1;
default:
return SndObj::Connect(mess, input);
}
}
short
FFT::DoProcess(){
if(!m_error){
if(m_input && m_table){
if(m_enable){
int i; float sig = 0.f;
for(m_vecpos = 0; m_vecpos < m_hopsize; m_vecpos++) {
// signal input
sig = m_input->Output(m_vecpos);
// distribute to the signal fftframes and apply the window
// according to a time pointer (kept by counter[n])
for(i=0;i < m_frames; i++){
m_sigframe[i][m_counter[i]]= sig*m_table->Lookup(m_counter[i]);
m_counter[i]++;
}
}
// every hopsize samples
// set the current sigframe to be transformed
m_cur--; if(m_cur<0) m_cur = m_frames-1;
// transform it and fill the output buffer
fft(m_sigframe[m_cur]);
// zero the current sigframe time pointer
m_counter[m_cur] = 0;
return 1;
} else { // if disabled
for(m_vecpos=0; m_vecpos < m_hopsize; m_vecpos++)
m_output[m_vecpos] = 0.f;
return 1;
}
} else {
m_error = 3;
return 0;
}
}
else
return 0;
}
void
FFT::fft(float* signal){
// FFT function
rfftw_one(m_plan, signal, m_ffttmp);
// re-arrange output into re, im format
// packing re[0] and re[nyquist] together,
// normalise it and fill the output buffer
m_output[0] = m_ffttmp[0]/m_norm;
m_output[1] = m_ffttmp[m_halfsize]/m_norm;
for(int i=2, i2=1; i<m_fftsize; i+=2){
i2 = i/2;
m_output[i] = m_ffttmp[i2]/m_norm;
m_output[i+1] = m_ffttmp[m_fftsize-(i2)]/m_norm;
}
}
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