mfft
Version 1.2.0.0 (1.31 KB) by
Friedrich
This code is designed to help learn and understand the fast fourier algorithm. For this purpose it is kept as short and simple as possible.
This short bit of code is a full fledged radix-2 fast fourier transform.
It is kept short and easy to read to make it easy for students to learn and understand the fast fourier algorithm.
As this algorithm is recursive, it does not require the butterfly reordering of input or output data.
Length of the input must be a power of 2.
SYNTAX:
y = mfft(1:2^10)
EXAMPLE:
n = 2^10;
data = sind((1:n)*10)'+rand(n,1);
y = mfft(data);
subplot(2,1,1);
plot(data);
xlim([1 n]);
subplot(2,1,2);
plot(abs(y));
xlim([1 n]);
Cite As
Friedrich (2026). mfft (https://uk.mathworks.com/matlabcentral/fileexchange/67515-mfft), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2015b
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Discrete Fourier and Cosine Transforms >
Find more on Discrete Fourier and Cosine Transforms in Help Center and MATLAB Answers
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