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Proceedings Paper

Acousto-optic estimation of autocorrelation and spectra using triple correlations and bispectra
Author(s): Brian M. Sadler; Georgios B. Giannakis; Dale J. Smith
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Paper Abstract

Nonparametric estimation of lower-order statistics from higher-order statistics of continuous processes is considered. Of particular interest is estimation of correlations and spectra (second-order statistics) from higher-order correlations and polyspectra (higher-order statistics). The use of higher-order statistics is motivated by their insensitivity to a wide class of additive noises including Gaussian noise of unknown covariance. The fact that lower-order correlations are projections of higher-order correlations is exploited. Experimental results are presented using an acousto-optic triple product processor to estimate the autocorrelation of a 1- D signal.

Paper Details

Date Published: 1 August 1991
PDF: 11 pages
Proc. SPIE 1476, Optical Technology for Microwave Applications V, (1 August 1991); doi: 10.1117/12.45576
Show Author Affiliations
Brian M. Sadler, Harry Diamond Labs. (United States)
Georgios B. Giannakis, Univ. of Virginia (United States)
Dale J. Smith, Harry Diamond Labs. (United States)

Published in SPIE Proceedings Vol. 1476:
Optical Technology for Microwave Applications V
Shi-Kay Yao, Editor(s)

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