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Fourier Analysis and Filtering

Fourier transforms, convolution, digital filtering

Transforms and filters are tools for processing and analyzing discrete data, and are commonly used in signal processing applications and computational mathematics. When data is represented as a function of time or space, the Fourier transform decomposes the data into frequency components. The fft function uses a fast Fourier transform algorithm that reduces its computational cost compared to other direct implementations. For a more detailed introduction to Fourier analysis, see Fourier Transforms. The conv and filter functions are also useful tools for modifying the amplitude or phase of input data using a transfer function.


fft Fast Fourier transform
fft2 2-D fast Fourier transform
fftn N-D fast Fourier transform
fftshift Shift zero-frequency component to center of spectrum
fftw Define method for determining FFT algorithm
ifft Inverse fast Fourier transform
ifft2 2-D inverse fast Fourier transform
ifftn Multidimensional inverse fast Fourier transform
ifftshift Inverse zero-frequency shift
nextpow2 Exponent of next higher power of 2
interpft 1-D interpolation (FFT method)
conv Convolution and polynomial multiplication
conv2 2-D convolution
convn N-D convolution
deconv Deconvolution and polynomial division
filter 1-D digital filter
filter2 2-D digital filter
ss2tf Convert state-space representation to transfer function
padecoef Padé approximation of time delays


Fourier Transforms

The Fourier transform is a powerful tool for analyzing data across many applications, including Fourier analysis for signal processing.

Basic Spectral Analysis

Use the Fourier transform for frequency and power spectrum analysis of time-domain signals.

Polynomial Interpolation Using FFT

Use the fast Fourier transform to estimate coefficients of a polynomial interpolant.

2-D Fourier Transforms

Transform 2-D optical data into frequency space.

Smooth Data with Convolution

Smooth noisy, 2-D data using convolution.

Filter Data

Filtering is a data processing technique used for smoothing data or modifying specific data characteristics, such as signal amplitude.

Featured Examples

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