Gaussian random noise

The block generates a pseudo-random sequence of real numbers normally distributed (Gaussian).

Inputs

none

Outputs

• output - the port for the output value.

Properties

• Expectation – M;
• Root-mean-square deviation – D;
• Sampling period – T is the time in seconds after which a random signal at the block output will be updated. If T = 0, then the random signal at the output of the block will be updated after each next integration step.

Properties can be vectors: M = [M₁, M₂,…, M_n], D = [D₁, D₂,…, D_n] и T = [T₁, T₂,…, T_n], the dimensions of which must be the same, in which case a vector signal will also be formed at the output.

Parameters

none

Note:

1. By default, the block generates a scalar output signal.
2. Named properties can be set as local model variables (submodels) in a programming language script, as global project signals using the Tools → Signals main menu item, or as external project signals using an attachable signal database.