blob: 91e48cd1b1507c0ad1dfa6bf7009dc4bf3a62802 [file] [log] [blame]
#include "pffft.hpp"
#include <complex>
#include <iostream>
void cxx98_forward_complex_float(const int transformLen)
{
std::cout << "running " << __FUNCTION__ << "()" << std::endl;
// first check - might be skipped
typedef pffft::Fft< std::complex<float> > FFT_T;
if (transformLen < FFT_T::minFFtsize())
{
std::cerr << "Error: minimum FFT transformation length is " << FFT_T::minFFtsize() << std::endl;
return;
}
// instantiate FFT and prepare transformation for length N
pffft::Fft< std::complex<float> > fft(transformLen);
// one more check
if (!fft.isValid())
{
std::cerr << "Error: transformation length " << transformLen << " is not decomposable into small prime factors. "
<< "Next valid transform size is: " << FFT_T::nearestTransformSize(transformLen)
<< "; next power of 2 is: " << FFT_T::nextPowerOfTwo(transformLen) << std::endl;
return;
}
// allocate aligned vectors for input X and output Y
pffft::AlignedVector< std::complex<float> > X = fft.valueVector();
pffft::AlignedVector< std::complex<float> > Y = fft.spectrumVector();
// alternative access: get raw pointers to aligned vectors
std::complex<float> *Xs = X.data();
std::complex<float> *Ys = Y.data();
// prepare some input data
for (int k = 0; k < transformLen; k += 2)
{
X[k] = std::complex<float>(k, k&1); // access through AlignedVector<float>
Xs[k+1] = std::complex<float>(-1-k, k&1); // access through raw pointer
}
// do the forward transform; write complex spectrum result into Y
fft.forward(X, Y);
// print spectral output
std::cout << "output should be complex spectrum with " << fft.getSpectrumSize() << " bins" << std::endl;
std::cout << "output vector has size " << Y.size() << " (complex bins):" << std::endl;
for (unsigned k = 0; k < Y.size(); k += 2)
{
std::cout << "Y[" << k << "] = " << Y[k] << std::endl;
std::cout << "Y[" << k+1 << "] = " << Ys[k+1] << std::endl;
}
}
int main(int argc, char *argv[])
{
int N = (1 < argc) ? atoi(argv[1]) : 16;
cxx98_forward_complex_float(N);
return 0;
}