Package likelihoodDetectionModule.normalizer
package likelihoodDetectionModule.normalizer
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ClassDescriptionThis is a convenience class which stores the critical non-static information about the data blocks being processed.This class implements the decaying average normalizer/estimator for the likelihoodDetectionModule.This class is used to convert signal and background time constants to ExponentialAverager alpha values.This is a simple exponential (decaying) average.This is a data type for normalizer output.The data type generated by the normalizer PamProcess.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.This PamProcess implements the normalizer of the likelihood detector.A simple convenience class to pair signal and background time constants together.A simple sliding block averager.A Split Window normalizer implementation.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.This class is almost identical to the simple exponential (decaying) average.