Abstract

Speckle interferometry and speckle masking techniques are based on the measurement of the autocorrelation and triple-correlation functions. The measurement of intervals between photoevents has been proved to be a good alternative to direct evaluation of the correlation functions, since it is faster to compute and, under certain conditions, it can provide a better signal-to-noise ratio. We extend the interval and double-interval probability distribution techniques to the actual case of using clipped detection. The accuracy of these techniques is compared with that of the direct measurement of the autocorrelation and triple-correlation functions of clipped data.

© 1995 Optical Society of America

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