Autocorrelation Function from Power Spectral Density

Using the Wiener-Khintchine theorem to compute autocorrelation from power spectral density of a light field.
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Updated 19 Sep 2018

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It is possible to compute the autocorrelation function from the power spectral density of a light field with the help of the Wiener-Khintchine theorem. This autocorrelation function is directly related to the first-order correlation function and therefore the coherence time of the light. The function takes as the input the wavelenghts with corresponding power spectral density and computes the unnormalized first-order correlation function with the help of an inverse fourier transform.

Cite As

Johannes Thewes (2026). Autocorrelation Function from Power Spectral Density (https://nl.mathworks.com/matlabcentral/fileexchange/68854-autocorrelation-function-from-power-spectral-density), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
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Version Published Release Notes
1.0.0