Fast Noise Source

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

Parameters

 * 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