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Jinhui-Lin edited this page Oct 17, 2018
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- FFT Tutorial
- Fast Fourier Transform and MATLAB Implementation
- How to Interpret FFT results – complex DFT, frequency bins and FFTShift
- How to Interpret FFT results – obtaining Magnitude and Phase information
- FFT and Spectral Leakage
- How to plot FFT using Matlab – FFT of basic signals : Sine and Cosine waves
- Generating Basic signals – Square Wave and Power Spectral Density using FFT
- Generating Basic signals – Rectangular Pulse and Power Spectral Density using FFT
- Generating Basic Signals – Gaussian Pulse and Power Spectral Density using FFT
- Chirp Signal – Frequency Sweeping – FFT and power spectral density
- Constructing the Auto Correlation Matrix using FFT
- FFTW : FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST). We believe that FFTW, which is free software, should become the FFT library of choice for most applications.