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Releases: ECheynet/randomProcess

implementation of a random process generation in one point

30 Jan 14:23
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Added an example where it is possible to generate a non-Gaussian stationary random process using a target skewness and Kurtosis

implementation of a random process generation in one point

11 Jun 19:42
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A stationary Gaussian random process is generated using the spectral method. This means that the function requires only two inputs: the target power spectral density (PSD) and the associated frequency vector.

The present submission contains:

  • The function randomProcess.m, which generates the (random) time series associated with a target PSD
  • An example file Documentation.mlx, which illustrates the generation of the random process using the case of atmospheric turbulence
  • The function getSamplingPara.m, which computes the target frequency vector and the associated time vector.

Any question, suggestion or comment is welcome.