Package org.yamcs.studio.data.sim

Class GaussianNoise

java.lang.Object

org.yamcs.studio.data.sim.SimFunction<VDouble>

org.yamcs.studio.data.sim.GaussianNoise

public class GaussianNoise
extends SimFunction<VDouble>

Function to simulate a signal that has a gaussian distribution. The warning limits are set above the standard deviation and the alarm above two times the standard deviation. The total range is 4 times the standard deviation. All values are going to have no alarm status, with the timestamp set at the moment the sample was generated.

Field Summary

Fields inherited from class org.yamcs.studio.data.sim.SimFunction

lastTime

Constructor Summary

Constructors

Constructor	Description
GaussianNoise()	Creates a signal with a normal distribution (average zero and standard deviation one), updating every 100ms (10Hz).
GaussianNoise(Double average, Double stdDev, Double interval)	Creates a signal with a gaussian distribution, updating at the rate specified.

Method Summary

Methods inherited from class org.yamcs.studio.data.sim.SimFunction

createValues, getTimeBetweenSamples

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

GaussianNoise

public GaussianNoise()

Creates a signal with a normal distribution (average zero and standard deviation one), updating every 100ms (10Hz).

GaussianNoise

public GaussianNoise(Double average,
 Double stdDev,
 Double interval)

Creates a signal with a gaussian distribution, updating at the rate specified.

Parameters:

average - average of the gaussian distribution

stdDev - standard deviation of the gaussian distribution

interval - time between samples in seconds