NormalNoise

Noise generator with normal distribution

Information

This information is part of the Modelica Standard Library maintained by the Modelica Association.

A summary of the common properties of the noise blocks is provided in the documentation of package Blocks.Noise. This NormalNoise block generates reproducible, random noise at its output according to a normal distribution. This means that random values are normally distributed with expectation value mu and standard deviation sigma. (see example Examples.Noise.NormalNoiseProperties). By default, two or more instances produce different, uncorrelated noise at the same time instant. The block can only be used if on the same or a higher hierarchical level, model Blocks.Noise.GlobalSeed is dragged to provide global settings for all instances.

Parameters (10)

samplePeriod

Value:

Type: Period (s)

Description: Period for sampling the raw random numbers

enableNoise

Value: globalSeed.enableNoise

Type: Boolean

Description: = true: y = noise, otherwise y = y_off

y_off

Value: 0.0

Type: Real

Description: Sets y = y_off if enableNoise=false (or time

useGlobalSeed

Value: true

Type: Boolean

Description: = true: use global seed, otherwise ignore it

useAutomaticLocalSeed

Value: true

Type: Boolean

Description: = true: use automatic local seed, otherwise use fixedLocalSeed

fixedLocalSeed

Value: 1

Type: Integer

Description: Local seed (any Integer number)

startTime

Value: 0.0

Type: Time (s)

Description: Start time for sampling the raw random numbers

localSeed

Value:

Type: Integer

Description: The actual localSeed

mu

Value: 0

Type: Real

Description: Expectation (mean) value of the normal distribution

sigma

Value:

Type: Real

Description: Standard deviation of the normal distribution

Connectors (1)

y

Type: RealOutput

Description: Connector of Real output signal

Components (1)

globalSeed

Type: GlobalSeed

Description: Definition of global seed via inner/outer

Used in Examples (1)

NormalNoiseProperties

Modelica.Blocks.Examples.Noise

Demonstrates the computation of properties for normally distributed noise