mikera.vectorz.ops

Class GaussianNoise

java.lang.Object

mikera.vectorz.Op

mikera.vectorz.ops.GaussianNoise

All Implemented Interfaces:

ITransform, IOp

public class GaussianNoise
extends Op

Operator to add gaussian noise to a value

Author:

Mike

Field Summary

Fields

Modifier and Type	Field and Description
static GaussianNoise	UNIT_NOISE

Method Summary

Methods

Modifier and Type	Method and Description
double	apply(double x) Applies the operator to a single value, returning the result
void	applyTo(double[] data, int start, int length)
double	averageValue()
static GaussianNoise	create(double stdDev)
double	derivative(double x) Returns the derivative of this Op for a given input value x i.e.
double	derivativeForOutput(double y) Returns the derivative of this Op for a given output value y i.e.
Op	getDerivativeOp()
boolean	hasDerivative()
boolean	isStochastic() Returns true if the operator is stochastic, i.e returns random values for at least some inputs

Methods inherited from class mikera.vectorz.Op

applyInverse, applyTo, applyTo, applyTo, applyTo, applyTo, compose, compose, constrainValues, getInverse, getTransform, hasDerivativeForOutput, hasInverse, inputDimensions, isBounded, isDomainBounded, maxDomain, maxValue, minDomain, minValue, outputDimensions, product, sum, toString, transform, validateOutput

Methods inherited from class java.lang.Object

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

Field Detail

UNIT_NOISE

public static final GaussianNoise UNIT_NOISE

Method Detail

create

public static GaussianNoise create(double stdDev)

isStochastic

public boolean isStochastic()

Description copied from class: Op

Returns true if the operator is stochastic, i.e returns random values for at least some inputs

Overrides:

isStochastic in class Op

Returns:

apply

public double apply(double x)

Description copied from interface: IOp

Applies the operator to a single value, returning the result

Specified by:

apply in interface IOp

Specified by:

apply in class Op

Returns:

applyTo

public void applyTo(double[] data,
           int start,
           int length)

Specified by:

applyTo in interface IOp

Overrides:

applyTo in class Op

hasDerivative

public boolean hasDerivative()

Overrides:

hasDerivative in class Op

derivative

public double derivative(double x)

Description copied from class: Op

Returns the derivative of this Op for a given input value x i.e. f'(x) where f is the operator

Overrides:

derivative in class Op

Returns:

derivativeForOutput

public double derivativeForOutput(double y)

Description copied from class: Op

Returns the derivative of this Op for a given output value y i.e. f'(g(y)) where f is the operator, g is the inverse of f

Overrides:

derivativeForOutput in class Op

Returns:

getDerivativeOp

public Op getDerivativeOp()

Overrides:

getDerivativeOp in class Op

averageValue

public double averageValue()

Specified by:

averageValue in class Op