Paper
1 August 1991 Acousto-optic estimation of autocorrelation and spectra using triple correlations and bispectra
Brian M. Sadler, Georgios B. Giannakis, Dale J. Smith
Author Affiliations +
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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Cited by 1 scholarly publication.
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KEYWORDS
Signal processing

Statistical analysis

Acousto-optics

Interference (communication)

Microwave radiation

Fourier transforms

Diamond

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