Package likelihoodDetectionModule.normalizer

Class DecayingAverageNorm

java.lang.Object

likelihoodDetectionModule.normalizer.DecayingAverageNorm

All Implemented Interfaces:

Normalizer

public class DecayingAverageNorm
extends Object
implements Normalizer

This class implements the decaying average normalizer/estimator for the likelihoodDetectionModule. The signal is estimated using a simple ExponentialAverager, and the background is estimated using a TwoSpeedExponentialAverager.

Author:

Dave Flogeras

Constructor Summary

Constructors

Constructor	Description
DecayingAverageNorm(List<DecayingAverageNormAlphas> alphas, double referenceGain)	Constructor

Method Summary

Modifier and Type	Method	Description
NormalizedDataUnit	Process(SpectralEtiDataUnit a)

Methods inherited from class java.lang.Object

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

Constructor Details

DecayingAverageNorm

public DecayingAverageNorm(List<DecayingAverageNormAlphas> alphas,
 double referenceGain)

Constructor

Parameters:

alphas - A list of DecayingAverageNormAlphas describing each signal/background pair for each band (be it a signal or guard band).

referenceGain - The referenceGain is used to scale the signal estimate before passing it to the TwoSpeedExponentialAverager. See it's JavaDoc for a description of how this is used in it's calculation.

Method Details

Process

public NormalizedDataUnit Process(SpectralEtiDataUnit a)

Specified by:

Process in interface Normalizer