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implementation of a random process generation in one point

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@ECheynet ECheynet released this 11 Jun 19:42
· 11 commits to master since this release
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Learn about vigilant mode.

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.

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