RowVectorXd FilterData::applyFFTFilter(const RowVectorXd& data, bool keepOverhead, CompensateEdgeEffects compensateEdgeEffects) const
{
#ifdef EIGEN_FFTW_DEFAULT
fftw_make_planner_thread_safe();
#endif
if(data.cols()<m_dCoeffA.cols() && compensateEdgeEffects==MirrorData) {
qDebug()<<QString("Error in FilterData: Number of filter taps(%1) bigger then data size(%2). Not enough data to perform mirroring!").arg(m_dCoeffA.cols()).arg(data.cols());
return data;
}
// std::cout<<"m_iFFTlength: "<<m_iFFTlength<<std::endl;
// std::cout<<"2*m_dCoeffA.cols() + data.cols(): "<<2*m_dCoeffA.cols() + data.cols()<<std::endl;
if(2*m_dCoeffA.cols() + data.cols()>m_iFFTlength) {
qDebug()<<"Error in FilterData: Number of mirroring/zeropadding size plus data size is bigger then fft length!";
return data;
}
//Do zero padding or mirroring depending on user input
RowVectorXd t_dataZeroPad = RowVectorXd::Zero(m_iFFTlength);
switch(compensateEdgeEffects) {
case MirrorData:
t_dataZeroPad.head(m_dCoeffA.cols()) = data.head(m_dCoeffA.cols()).reverse(); //front
t_dataZeroPad.segment(m_dCoeffA.cols(), data.cols()) = data; //middle
t_dataZeroPad.tail(m_dCoeffA.cols()) = data.tail(m_dCoeffA.cols()).reverse(); //back
break;
case ZeroPad:
t_dataZeroPad.head(data.cols()) = data;
break;
default:
t_dataZeroPad.head(data.cols()) = data;
break;
}
//generate fft object
Eigen::FFT<double> fft;
fft.SetFlag(fft.HalfSpectrum);
//fft-transform data sequence
RowVectorXcd t_freqData;
fft.fwd(t_freqData,t_dataZeroPad);
//perform frequency-domain filtering
RowVectorXcd t_filteredFreq = m_dFFTCoeffA.array()*t_freqData.array();
//inverse-FFT
RowVectorXd t_filteredTime;
fft.inv(t_filteredTime,t_filteredFreq);
//Return filtered data
if(!keepOverhead)
return t_filteredTime.segment(m_dCoeffA.cols()/2, data.cols());
return t_filteredTime.head(data.cols()+m_dCoeffA.cols());
}
Vector<Pointf> DataSource::FFT(Getdatafun getdata, double tSample, bool frequency, int type, bool window) {
int numData = int(GetCount());
VectorXd timebuf(numData);
int num = 0;
for (int i = 0; i < numData; ++i) {
double data = Membercall(getdata)(i);
if (!IsNull(data)) {
timebuf[i] = Membercall(getdata)(i);
num++;
}
}
Vector<Pointf> res;
if (num < 3)
return res;
timebuf.resize(num);
double windowSum = 0;
if (window) {
for (int i = 0; i < numData; ++i) {
double windowDat = 0.54 - 0.46*cos(2*M_PI*i/numData);
windowSum += windowDat;
timebuf[i] *= windowDat; // Hamming window
}
} else
windowSum = numData;
VectorXcd freqbuf;
try {
Eigen::FFT<double> fft;
fft.SetFlag(fft.HalfSpectrum);
fft.fwd(freqbuf, timebuf);
} catch(...) {
return res;
}
if (frequency) {
for (int i = 0; i < int(freqbuf.size()); ++i) {
double xdata = i/(tSample*numData);
switch (type) {
case T_PHASE: res << Pointf(xdata, std::arg(freqbuf[i])); break;
case T_FFT: res << Pointf(xdata, 2*std::abs(freqbuf[i])/windowSum); break;
case T_PSD: res << Pointf(xdata, 2*sqr(std::abs(freqbuf[i]))/(windowSum/tSample));
}
}
} else {
for (int i = int(freqbuf.size()) - 1; i > 0; --i) {
double xdata = (tSample*numData)/i;
switch (type) {
case T_PHASE: res << Pointf(xdata, std::arg(freqbuf[i])); break;
case T_FFT: res << Pointf(xdata, 2*std::abs(freqbuf[i])/windowSum); break;
case T_PSD: res << Pointf(xdata, 2*sqr(std::abs(freqbuf[i]))/(windowSum/tSample));
}
}
}
return res;
}
void FilterData::fftTransformCoeffs()
{
#ifdef EIGEN_FFTW_DEFAULT
fftw_make_planner_thread_safe();
#endif
//zero-pad m_dCoeffA to m_iFFTlength
RowVectorXd t_coeffAzeroPad = RowVectorXd::Zero(m_iFFTlength);
t_coeffAzeroPad.head(m_dCoeffA.cols()) = m_dCoeffA;
//generate fft object
Eigen::FFT<double> fft;
fft.SetFlag(fft.HalfSpectrum);
//fft-transform filter coeffs
m_dFFTCoeffA = RowVectorXcd::Zero(m_iFFTlength);
fft.fwd(m_dFFTCoeffA,t_coeffAzeroPad);
}
CosineFilter::CosineFilter(int fftLength, float lowpass, float lowpass_width, float highpass, float highpass_width, double sFreq, TPassType type)
{
m_iFilterOrder = fftLength;
int highpasss,lowpasss;
int highpass_widths,lowpass_widths;
int k,s,w;
int resp_size = fftLength/2+1; //Take half because we are not interested in the conjugate complex part of the spectrum
double pi4 = M_PI/4.0;
float mult,add,c;
RowVectorXcd filterFreqResp = RowVectorXcd::Ones(resp_size);
//Transform frequencies into samples
highpasss = ((resp_size-1)*highpass)/(0.5*sFreq);
lowpasss = ((resp_size-1)*lowpass)/(0.5*sFreq);
lowpass_widths = ((resp_size-1)*lowpass_width)/(0.5*sFreq);
lowpass_widths = (lowpass_widths+1)/2;
if (highpass_width > 0.0) {
highpass_widths = ((resp_size-1)*highpass_width)/(0.5*sFreq);
highpass_widths = (highpass_widths+1)/2;
}
else
highpass_widths = 3;
//Calculate filter freq response - use cosine
//Build high pass filter
if(type != LPF) {
if (highpasss > highpass_widths + 1) {
w = highpass_widths;
mult = 1.0/w;
add = 3.0;
for (k = 0; k < highpasss-w+1; k++)
filterFreqResp(k) = 0.0;
for (k = -w+1, s = highpasss-w+1; k < w; k++, s++) {
if (s >= 0 && s < resp_size) {
c = cos(pi4*(k*mult+add));
filterFreqResp(s) = filterFreqResp(s).real()*c*c;
}
}
}
}
//Build low pass filter
if(type != HPF) {
if (lowpass_widths > 0) {
w = lowpass_widths;
mult = 1.0/w;
add = 1.0;
for (k = -w+1, s = lowpasss-w+1; k < w; k++, s++) {
if (s >= 0 && s < resp_size) {
c = cos(pi4*(k*mult+add));
filterFreqResp(s) = filterFreqResp(s).real()*c*c;
}
}
for (k = s; k < resp_size; k++)
filterFreqResp(k) = 0.0;
}
else {
for (k = lowpasss; k < resp_size; k++)
filterFreqResp(k) = 0.0;
}
}
m_dFFTCoeffA = filterFreqResp;
//Generate windowed impulse response - invert fft coeeficients to time domain
Eigen::FFT<double> fft;
fft.SetFlag(fft.HalfSpectrum);
//invert to time domain and
fft.inv(m_dCoeffA, filterFreqResp);/*
m_dCoeffA = m_dCoeffA.segment(0,1024).eval();
//window/zero-pad m_dCoeffA to m_iFFTlength
RowVectorXd t_coeffAzeroPad = RowVectorXd::Zero(fftLength);
t_coeffAzeroPad.head(m_dCoeffA.cols()) = m_dCoeffA;
//fft-transform filter coeffs
m_dFFTCoeffA = RowVectorXcd::Zero(fftLength);
fft.fwd(m_dFFTCoeffA,t_coeffAzeroPad);*/
}
