Fast Noise Source

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Revision as of 05:23, 27 December 2018 by 777arc (talk | contribs)
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Similar to the Noise Source block, except it uses less CPU by pre-generating a pool of random variates taken from the specified distribution. At runtime, samples are then uniform randomly chosen from this pool which is a very fast operation.

Supports output of type complex, float, int, short

Args:

  • Noise Type - the random distribution to use, only Gaussian and Uniform are supported
  • Amplitude - the standard deviation of a 1-d noise process. If this is the complex source, this parameter is split among the real and imaginary parts
  • Seed - seed for random generators. Note that for uniform and Gaussian distributions, this should be a negative number.
  • Variate Pool Size - Number of samples to pre-generate