This volume presents the latest concepts in higher-order statistics and discusses their applications in signal processing problems. The 7 tutorial lectures and 72 contributed papers review topics ranging from the structure of HO spectra of Gaussian signals to Hilbert spaces of non linear filters, giving some very compact solutions to various problems of detection and estimation. Containing contributions by some of the world's leading experts in the field, the work will be the definitive reference source for anyone interested in the latest advances and results of current experimental research in high order statistics.
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