fft_fft_multiple_complex
Description
computes the discrete Fourier transforms of iSequences sequences of iSize complex data values.
Syntax
int fft_fft_multiple_complex( int iSequences, int iSize, double * vSigReal, double * vSigImag, FFT_SIGN iSign = FFT_FORWARD )
Parameters
- iSequences
- [input] the number of sequences.
- iSize
- [input] the number of data values in each sequence.
- vSigReal
- [modify] the real part of the input sequences, and the real part of the output Fourier transforms.
- vSigImag
- [modify] the imaginary part of the input sequences, and the imaginary part of the output Fourier transforms.
- iSign
- [input] the transformation to carry out
- = FFT_FORWARD: FFT (by default)
- = FFT_BACKWARD: IFFT.
Return
Returns 0 for success or error codes for failure.
Examples
EX1
//Assume the current Worksheet has 3 sequences of complex data values stored in the first
//two columns. The first column contains the real part, and the second column imaginary
//part. This piece of code computers the discrete Fourier transform. The result is
//output into the third and the fourth columns. An inverse transform is performed,
//and the result is output into the fifth and the sixth columns.
#include <..\originlab\fft.h>
void TEST_fft_fft_multiple_complex()
{
int iSeq=3, iL=7, success;
int n = iSeq*iL;
Worksheet wks = Project.ActiveLayer();
if(wks)
{
Dataset xx(wks, 0);
Dataset yy(wks, 1);
Dataset aa(wks, 2);
aa.SetSize(n);
Dataset bb(wks, 3);
bb.SetSize(n);
Dataset cc(wks, 4);
cc.SetSize(n);
Dataset dd(wks, 5);
dd.SetSize(n);
vector x = xx, y = yy;
///FT
success = fft_fft_multiple_complex(iSeq, iL, x, y);
aa = x;
bb = y;
///IFT
success = fft_fft_multiple_complex(iSeq, iL, x, y, FFT_BACKWARD);
cc = x;
dd = y;
}
}
Remark
See Also
fft_fft_multiple_real
header to Include
fft.h
Reference
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