image thumbnail

Short Time Fourier Transform (STFT)

version (2 KB) by Hooman Sedghamiz
To visualize the STFT of a signal for further processing


Updated 06 Feb 2014

View License

%% function [t,frequency,Power_spectrum]=fft_s(y,windowlength)
%% Inputs :
% y: input raw signal
% windowlength: window length to take fast fourier transform, it is a
% factor of smapling frequency for example one can enter a window length
% half of the sampling frequency by enteríng 0.5 and if fs =1000, then the
% window is 500 samples length
% reshaping: reshapes the signal to the length of the windowlength. if your
% signal is already chunked make it zeros otherwise it is should always be
% =1;
% gr : plot or not (0 plot, 1 no plot)

%% Example : [t,frequency,Power_spectrum]=fft_s(EMG,0.1,1000,1,1)
%% Outputs :
% t : time
% frequency : Frequency
% Power_spectrum : Power spectrum
%% Method:
% Chunks the signal with th elength of windowlength and gets the
% fast fourier transform and outputs a 3d plot
%% Tuning
% for a better resolution in time domain reduce the windowlength and for a
% better resolution in frequency domain increase the windowlength.
% Keep in mind that wavelet transform is in the most cases more effective and dont have
% the resolution problem in one domain

% Author : Hooman Sedghamiz (
% Graduate student Linköping University
%% Frequency analysis (FFT with plot)
% Fast Fourier Transform Windowed

Cite As

Hooman Sedghamiz (2022). Short Time Fourier Transform (STFT) (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!