Partial Fast Fourier Transform

Fast computation of part of an FFT using fractional fourier transform
4.6K Downloads
Updated 27 Dec 2005

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This program uses the fractional fourier transform to compute only part of the FFT. It is even faster if the signal is sparse (i.e. it contains only a few non-zero elements).

Example:

signal=rand(16,1);
ft=FPFT(signal,1024,64);

This computes the first 64 points of the FFT of signal, signal is padded with zeroes to length 1024 first. This is much faster than

ft=FFT(signal,1024);ft=ft(1:64);

FPFT uses a caching mechanism to improve speed for multiple calls.

Cite As

Gerbrand van der Zouw (2024). Partial Fast Fourier Transform (https://www.mathworks.com/matlabcentral/fileexchange/9200-partial-fast-fourier-transform), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R13SP1
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0

For certain cases the speed has been increased by 30%. Also a small bug fix was applied.