Signal processing with higher-order spectra

1993946 citationsJournal Article

Authors

C.L. Nikias · Signal Processing (United States)

Jerry M. Mendel · University of Southern California

Abstract

The strengths and limitations of correlation-based signal processing methods are discussed. The definitions, properties, and computation of higher-order statistics and spectra, with emphasis on the bispectrum and trispectrum are presented. Parametric and nonparametric expressions for polyspectra of linear and nonlinear processes are described. The applications of higher-order spectra in signal processing are discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

Topics & Keywords

Blind Source Separation Techniques Direction-of-Arrival Estimation Techniques Neural Networks and Applications

Publication Details

Published in: IEEE Signal Processing Magazine

Volume 10, Issue 3, pp. 10-37

DOI: 10.1109/79.221324

Field-Weighted Citation Impact: 20.23

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Signal processing with higher-order spectra

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Abstract

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Publication Details