crandn
[cg, psg] = crandn(rgau,m)
Generate correlated Gaussian sequences by Fourier synthesis.
Input parameters:
rgau = correlation function - length n/2
m = number of realisations
Output:
cg = m x n matrix containing m sequences of n correlated variates from
a zero mean, unit variance normal distribution
psg = input power spectrum (Fourier transform of correlation function)
Note: Since this uses the fast Fourier transform, it will be fastest if n is a power of 2.
crandndemo.m is a demonstration. Note that one plot requires the function plotcdfkuiper (File Exchange ID #21280)
Zitieren als
Stephen Bocquet (2024). crandn (https://www.mathworks.com/matlabcentral/fileexchange/21325-crandn), MATLAB Central File Exchange. Abgerufen .
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0.0 |