How to implement FFT in Matlab?
Y = fft( X , n ) returns the n -point DFT. If no value is specified, Y is the same size as X . If X is a vector and the length of X is less than n , then X is padded with trailing zeros to length n . If X is a vector and the length of X is greater than n , then X is truncated to length n .
How to do FFT analysis in Matlab?
go to model configuration parameter and select Data Import/Export. Untick the Single simulation output and click on Apply. double tap the scope and go to Logging and select Log data to the workspace and select Structure with Time and click on Apply. double tap Powergui and select FFT Analysis.
What is DFT and FFT?
A fast Fourier transform (FFT) is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT). Fourier analysis converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa.