Programmer Guide/Command Reference/EVAL/fft: Difference between revisions
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;Usage 1:<code>fft(<var>x</var>)</code> | ;Usage 1:<code>fft(<var>x</var>)</code> | ||
:;<var>x</var>: signal vector or matrix; if ''x'' is a matrix a spectrum of each column is computed | :;<var>x</var>: signal vector or matrix; if ''x'' is a matrix a spectrum of each column is computed | ||
;Result:A matrix containing a complex spectrum for each column (channel) of the input signal ''x''. The transformation length L is set to | ;Result:A matrix containing a complex spectrum for each column (channel) of the input signal ''x''. The transformation length L is set to [[npow2|npow2(nrow(''x''))]] | ||
// (1) fft( X ) | // (1) fft( X ) | ||
// function: | // function: |
Revision as of 10:36, 12 April 2011
Fast fourier transform.
- Usage 1
fft(x)
- x
- signal vector or matrix; if x is a matrix a spectrum of each column is computed
- Result
- A matrix containing a complex spectrum for each column (channel) of the input signal x. The transformation length L is set to npow2(nrow(x))
// (1) fft( X ) // function: // if X is a vector: compute the fft spectrum of X // if X is a matrix: compute the fft spectrum of each row of X // the fft length L is set to the next power of 2 of nrow(X) // if L is greater than nrow(X), zero padding is applied // result: // vector or matrix Y containing one complex spectrum per row; // nrow(Y) = L+2, ncol(Y) = ncol(X)
fft
fft(x)fft(x, n) | Calculate the FFT of the vector x. If the parameter n is given and n >= nrow(x), then n is used as the signal length. The next possible value of x^2 is used for the FFT length (if necessary, 0 samples are added to x). The result is a complex FFT spectrum with 2^(m-1)+1 complex values (2^m = FFT length) |