Fast Noise Source: Difference between revisions
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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. | 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. | ||
Revision as of 22:17, 12 March 2019
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