Higher order statistics : proceedings of the International Signal Processing Workshop on Higher Order Statistics, Chamrousse, France, July 10-12, 1991

著者

書誌事項

Higher order statistics : proceedings of the International Signal Processing Workshop on Higher Order Statistics, Chamrousse, France, July 10-12, 1991

edited by J.L. Lacoume

Elsevier, 1992

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

Abbreviated. Basic aspects of higher-order spectra and some of their uses (D.R. Brillinger). Independent component analysis (P. Comon). Blind deconvolution using higher-order statistics (C.L. Nikias). Applications of higher order statistics in image processing (G. Jacovitti). Signal Modeling and Estimation. On the bispectrum of complex signals (I. Jouny). Complex random variables: A tensorial approach (J.L. Lacoume, M. Gaeta). On the degree of variety of the third-order statistics of stationary stochastic processes (F. Sakaguchi). New theoretical results on the bistatistics of 2-D signals (A.T. Erdem, A.M. Tekalp). On a method for noise generation with a specified set of higher order cumulants (A.G. Constantinides et al.). Inverse Problem and Identification. On identifiability of ARMA models of non-Gaussian processing via cumulant matching (J.K. Tugnait). Adaptive ARMA identification using cumulants (J.A. Rodriguez-Fonollosa, J. Vidal). A fast phase determination method by a single cumulant sample (C.-Y. Chi, J.-Y. Kung). Cross-bicepstrum and cross-tricepstrum approaches to multichannel deconvolution (D.H. Brooks, C.L. Nikias). Blind deconvolution method based on resonance model of wave propagation (R. Makowski). On a wide class of polyspectral inverse problems (A. Lannes et al.). Non-Stationary Signal Analysis. Detection of linear periodically time varying processes using higher order spectra (G.R. Wilson et al.). Applications Modified fourth-order moments in texture recognition (G. Ramponi, S. Carrato). Polyspectral analysis of non-stationary signals: System identification, classification and ambiguity functions (A.V. Dandawate, G.B. Giannakis). Application on higher-order spectra to high-resolution radar measurements (R.D. Pierce). Array Processing and Source Separation. Array processing from third order functions (M.A. Lagunas, G. Vazquez). Blind separation of sources: An algorithm for separation of convolutive mixtures (C. Jutten et al.). Nonlinear System Analysis Response computation for discrete-time nonlinear systems with random inputs (R. Ingenbleek, H. Schwarz). Second order volterra array processor mismatched to the fourth order moments of the jammers (P. Chevalier, B. Pincinbono). Polyspectra. Reconstruction of a sampled signal Fourier transform from its bispectrum (J. Le Roux). Analysis of nonlinear phenomena in space plasmas (N. Lounis et al.). Author index. (A complete list of contents is available on request from the Publisher.)

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