Function Summary :: Fourier Transforms (MATLAB®)

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Function Summary

MATLAB functions related to Fourier transforms include:

Function	Description
`fft`	One-dimensional fast Fourier transform
`ifft`	One-dimensional inverse fast Fourier transform
`fft2`	Two-dimensional fast Fourier transform
`ifft2`	Two-dimensional inverse fast Fourier transform
`fftn`	N-dimensional fast Fourier transform
`ifftn`	N-dimensional inverse fast Fourier transform
`fftshift`	Rearrange DFT data to center zero-frequency component
`fftw`	Interface to FFTW run-time algorithm
`abs`	Amplitude of the DFT
`angle`	Phase of the DFT
`unwrap`	Correct phase angles with jumps greater than or equal to `pi`
`nextpow2`	Next power of two greater than or equal to a given length
`pow2`	Compute powers of two

The MATLAB software also includes demos that use these functions in combination for Fourier analysis:

FFT for Spectral Analysis — Reviews basic spectral analysis with the FFT
Using FFT in MATLAB — Example of time series analysis with the FFT that looks for periodicity in historical data on sunspot activity

Fast Fourier Transform (FFT)

Examples

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