Acousto-optic estimation of autocorrelation and spectra using triple correlations and bispectra

Brian M. Sadler; Georgios B. Giannakis; Dale J. Smith

doi:10.1117/12.45576

1 August 1991 Acousto-optic estimation of autocorrelation and spectra using triple correlations and bispectra

Brian M. Sadler, Georgios B. Giannakis, Dale J. Smith

Proceedings Volume 1476, Optical Technology for Microwave Applications V; (1991) https://doi.org/10.1117/12.45576
Event: Orlando '91, 1991, Orlando, FL, United States

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.

Citation Download Citation

Brian M. Sadler, Georgios B. Giannakis, and Dale J. Smith "Acousto-optic estimation of autocorrelation and spectra using triple correlations and bispectra", Proc. SPIE 1476, Optical Technology for Microwave Applications V, (1 August 1991); https://doi.org/10.1117/12.45576

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