public class Noise extends Gaussian
If linearlyInterpolate is set to false, then this actor will hold the value of its output constant for the duration of an integration step. Thus, the output signal is piecewise constant. At each time step chosen by the solver, the value is given by a new independent Gaussian random number. This method has the advantage that samples at all times chosen by the solver are uncorrelated.
In both cases, whether linearlyInterpolate is true or false, if the solver holds its step size constant, then the resulting signal is statistically equivalent to filtered white noise. If linearlyInterpolate is true, then the power spectrum has the shape of a sinc squared. If it is false, then it has the shape of the absolute value of a sinc function. In the latter case, the power is infinite, so the approximation is not physically realizable. In the former case, the power is finite. In both cases, sampling the process at the rate of one over the step size yields a discretetime white noise process.
It is worth explaining why we must approximate white noise. In general, it is not possible in any discretized approximation of a continuous random process to exactly simulate a white noise process. By definition, a white noise process is one where any two values at distinct times are uncorrelated. A naive attempt to simulate this might simply generate a new random number at each sample time at which the solver chooses to fire the actor. However, this cannot work in general. Specifically, the semantics of the continuous domain assumes that signals are piecewise continuous. The signal resulting from the above strategy will not be piecewise continuous. If the solver refines a step size and chooses a point close to a previously calculated point, the new value produced by such an actor would not be close to the previously value previously produced. This can result in the solver assuming that its step size is too large and reducing it until it can reduce it no more.
To demonstrate this effect, try connecting a GaussianActor to a LevelCrossingDetector actor under a ContinuousDirector. An execution of the model will immediately trigger an exception with a message like "The refined step size is less than the time resolution, at time..." Conceptually, with a true white noise process, the level crossing occurs at all times, and therefore the exception is, in fact, the correct response.
If you modify the above example by sending the output of the Gaussian actor directly to an Integrator, and then the output of the Integrator to the LevelCrossingDetector, then the exception disappears. The Integrator ensures that the signal is piecewise continuous. This might seem like a reasonable approximation to a Weiner process, but in fact it is problematic. In particular, at the times that the LevelCrossingDetector triggers, the Gaussian actor will actually produce two distinct random numbers at the same time (at different microsteps). This changes the statistics of the output in a very subtle way.
Red (eal) 
Yellow (eal) 
Entity.ContainedObjectsIterator
Modifier and Type  Field and Description 

Parameter 
linearlyInterpolate
If true, linearly between random number for multistep solvers,
and otherwise, perform zeroorder hold.

_current, mean, standardDeviation
_generatorSeed, _needNew, _needNewGenerator, _random, privateSeed, resetOnEachRun, seed
_triggered, output, trigger
_typesValid
_actorFiringListeners, _initializables, _notifyingActorFiring, _stopRequested
_changeListeners, _changeLock, _changeRequests, _debugging, _debugListeners, _deferChangeRequests, _elementName, _isPersistent, _verbose, _workspace, ATTRIBUTES, CLASSNAME, COMPLETE, CONTENTS, DEEP, FULLNAME, LINKS
COMPLETED, NOT_READY, STOP_ITERATING
Constructor and Description 

Noise(CompositeEntity container,
java.lang.String name)
Construct an actor with the given container and name.

Modifier and Type  Method and Description 

protected void 
_generateRandomNumber()
Generate a new random number.

void 
fire()
Produce a number that is linearly interpolated within the
current integration step, if linearlyInterpolate is true, or
the random number for the beginning of the integration
step otherwise.

void 
initialize()
Initialize the random number generator with the seed, if it
has been given.

boolean 
postfire()
Set a flag to cause a new random number to be generated the next
time fire() is called.

_createGenerator, attributeChanged, clone
_customTypeConstraints, prefire
_containedTypeConstraints, _defaultTypeConstraints, _fireAt, _fireAt, attributeTypeChanged, clone, isBackwardTypeInferenceEnabled, newPort, typeConstraintList, typeConstraints
_actorFiring, _actorFiring, _declareDelayDependency, addActorFiringListener, addInitializable, connectionsChanged, createReceivers, declareDelayDependency, getCausalityInterface, getDirector, getExecutiveDirector, getManager, inputPortList, isFireFunctional, isStrict, iterate, newReceiver, outputPortList, preinitialize, pruneDependencies, recordFiring, removeActorFiringListener, removeDependency, removeInitializable, setContainer, stop, stopFire, terminate, wrapup
_adjustDeferrals, _checkContainer, _getContainedObject, _propagateExistence, getContainer, instantiate, isAtomic, isOpaque, moveDown, moveToFirst, moveToIndex, moveToLast, moveUp, propagateExistence, setName
_addPort, _description, _exportMoMLContents, _removePort, _validateSettables, connectedPortList, connectedPorts, containedObjectsIterator, getAttribute, getPort, getPorts, linkedRelationList, linkedRelations, portList, removeAllPorts, setClassDefinition, uniqueName
_setParent, exportMoML, getChildren, getElementName, getParent, getPrototypeList, isClassDefinition, isWithinClassDefinition
_addAttribute, _adjustOverride, _attachText, _cloneFixAttributeFields, _containedDecorators, _copyChangeRequestList, _debug, _debug, _debug, _debug, _debug, _executeChangeRequests, _getIndentPrefix, _isMoMLSuppressed, _markContentsDerived, _notifyHierarchyListenersAfterChange, _notifyHierarchyListenersBeforeChange, _propagateValue, _removeAttribute, _splitName, _stripNumericSuffix, addChangeListener, addDebugListener, addHierarchyListener, attributeDeleted, attributeList, attributeList, decorators, deepContains, depthInHierarchy, description, description, event, executeChangeRequests, exportMoML, exportMoML, exportMoML, exportMoML, exportMoMLPlain, getAttribute, getAttributes, getChangeListeners, getClassName, getDecoratorAttribute, getDecoratorAttributes, getDerivedLevel, getDerivedList, getDisplayName, getFullName, getModelErrorHandler, getName, getName, getSource, handleModelError, isDeferringChangeRequests, isOverridden, isPersistent, lazyContainedObjectsIterator, message, notifyOfNameChange, propagateValue, propagateValues, removeAttribute, removeChangeListener, removeDebugListener, removeHierarchyListener, requestChange, setClassName, setDeferringChangeRequests, setDerivedLevel, setDisplayName, setModelErrorHandler, setPersistent, setSource, sortContainedObjects, toplevel, toString, validateSettables, workspace
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
createReceivers, getCausalityInterface, getDirector, getExecutiveDirector, getManager, inputPortList, newReceiver, outputPortList
isFireFunctional, isStrict, iterate, stop, stopFire, terminate
addInitializable, preinitialize, removeInitializable, wrapup
description, getContainer, getDisplayName, getFullName, getName, getName, setName
getDerivedLevel, getDerivedList, propagateValue
public Parameter linearlyInterpolate
public Noise(CompositeEntity container, java.lang.String name) throws NameDuplicationException, IllegalActionException
container
 The container.name
 The name of this actor.IllegalActionException
 If the actor cannot be contained
by the proposed container.NameDuplicationException
 If the container already has an
actor with this name.public void fire() throws IllegalActionException
fire
in interface Executable
fire
in class Gaussian
IllegalActionException
 If the superclass throws it.public void initialize() throws IllegalActionException
initialize
in interface Initializable
initialize
in class RandomSource
IllegalActionException
 If the parent class throws it.public boolean postfire() throws IllegalActionException
postfire
in interface Executable
postfire
in class RandomSource
IllegalActionException
 If the base class throws it.protected void _generateRandomNumber() throws IllegalActionException
_generateRandomNumber
in class Gaussian
IllegalActionException
 If parameter values are incorrect.