WOLFRAM SYSTEMMODELER

StandardDeviation

Calculates the empirical standard deviation of its input signal

Diagram

Wolfram Language

In[1]:=
SystemModel["Modelica.Blocks.Math.StandardDeviation"]
Out[1]:=

Information

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

This block calculates the standard deviation of its input signal. The standard deviation is the square root of the signal's variance:

y = sqrt( variance(u) )

The Variance block is used to calculate variance(u).

The parameter t_eps is used to guard against division by zero (the computation of the standard deviation starts at <simulation start time> + t_eps and before that time instant y = 0).

This block is demonstrated in the examples UniformNoiseProperties and NormalNoiseProperties.

Parameters (1)

t_eps

Value: 1e-7

Type: Time (s)

Description: Standard deviation calculation starts at startTime + t_eps

Connectors (2)

u

Type: RealInput

Description: Noisy input signal

y

Type: RealOutput

Description: Standard deviation of the input signal

Components (2)

variance

Type: Variance

sqrt1

Type: Sqrt

Used in Examples (2)

UniformNoiseProperties

Modelica.Blocks.Examples.NoiseExamples

Demonstrates the computation of properties for uniformally distributed noise

NormalNoiseProperties

Modelica.Blocks.Examples.NoiseExamples

Demonstrates the computation of properties for normally distributed noise