Abstract

A Poisson point process presents a series of characteristics that may be used to define functions with a good signal-to-noise ratio. This research describes a statistical function obtained by handling the measured intervals between photopulses and containing the same information about the signal to be analyzed as the triple correlation. This function can be successfully applied to the analysis of low-light-level signals or images.

© 1991 Optical Society of America

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