GaussianRandom

GaussianRandom#

class GaussianRandom(options)#

Bases: RandomWaveform

GaussianRandom generates Gaussian random waveform signals.

Creates random signals with values following a normal (Gaussian) distribution with specified mean and standard deviation. Uses MATLAB’s normrnd() function for pseudo-random number generation. Inherits from RandomWaveform.

Example1:

% Create Gaussian random with mean 0, std 1
gaussian = GaussianRandom(duration = 0.01);
gaussian.plot();

Example2:

% Create Gaussian random with mean 2, std 0.5
gaussian = GaussianRandom(mean = 2, standardDeviation = 0.5, duration = 0.01);
gaussian.plot();
Constructor Summary
GaussianRandom(options)#

Construct a GaussianRandom object.

Parameters:

  • samplingRate (double, optional) – Sampling rate in Hz (default: [])

  • startTime (double, optional) – Start time in seconds (default: 0)

  • duration (double, optional) – Duration in seconds (default: [])

  • mean (double, optional) – Mean of Gaussian distribution (default: 0)

  • standardDeviation (double, optional) – Standard deviation of Gaussian distribution (default: 1)

Property Summary
Mean double = 0#

Mean of the Gaussian distribution.

StandardDeviation double = 1#

Standard deviation of the Gaussian distribution.

Method Summary
TimeFunc()#

Get the time function for the Gaussian random waveform.

Creates a function handle that generates Gaussian random values with the configured mean and standard deviation. Implements the abstract TimeFunc() method from Waveform.

Returns:

Function that takes time array and returns Gaussian random values

Return type:

function_handle