Package likelihoodDetectionModule.normalizer

Interface Summary

Normalizer

Interface to abstract the various normalizers for the likelihood detector It is OK to return a null DataUnit if you cannot yet produce data based on the input given.

Class Summary

BlockTimeStamp	This is a convenience class which stores the critical non-static information about the data blocks being processed.
DecayingAverageNorm	This class implements the decaying average normalizer/estimator for the likelihoodDetectionModule.
DecayingAverageNormAlphas	This class is used to convert signal and background time constants to ExponentialAverager alpha values.
ExponentialAverager	This is a simple exponential (decaying) average.
NormalizedData	This is a data type for normalizer output.
NormalizedDataUnit	The data type generated by the normalizer PamProcess.
NormalizerProcess	This PamProcess implements the normalizer of the likelihood detector.
NormalizerProcessTimeConstants	A simple convenience class to pair signal and background time constants together.
SlidingAverager	A simple sliding block averager.
SplitWindowNorm	A Split Window normalizer implementation.
SplitWindowNormWidths	This class is used to convert signal and background estimator times in seconds into window widths in samples suitable for use with the SplitWindowNorm class.
TwoSpeedExponentialAverager	This class is almost identical to the simple exponential (decaying) average.
UnitTest

Enum Summary

NormalizerProcess.NormalizerAlgorithm