Title: Signal Processing with Alpha-Stable Distributions and Applications (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
Publisher: Wiley-Interscience
Publication Date: 1995
Language: English
ISBN 10: 047110647X
ISBN 13: 9780471106470
Binding: Hardcover
Edition: 1st Edition
Condition: Near Fine

About this title

Synopsis

The recent explosion in the speed and power of computers has now made available the much more accurate, non-Gaussian models in signal processing algorithms. This book offers, for the first time, a full and lucid introduction to a very useful type of these non-Gaussian models, namely those specified by alpha-stable distributions.

Signal Processing with Alpha-Stable Distributions and Applications presents a long-awaited survey of the statistical properties, methods, and applications of symmetrical alpha-stable distributions. Its emphasis on practical rather than theoretical aspects will appeal to both researchers and practicing engineers in signal processing. Major topics covered in this comprehensive resource include:

Statistical methods in signal processing, including both the Gaussian and alpha-stable models
The stable distribution, its characterization and statistical properties
Fractional lower-order moments
Covariation and statistical conditional expectation of symmetric alpha-stable random variables
Methods for estimating the parameters of a stable distribution from sample data
Three conventional methods for estimating covariations: fractional lower-order moment estimator, the screened ratio estimator, and the least-squares estimator
Methods for estimating MA, AR, and ARMA model parameters
Methods for modeling impulsive signals
Designing and implementing optimum and suboptimum signal detectors in the presence of impulsive noise
Overview of current applications and future research trends of alpha-stable distributions for signal processing problems

About the Author

CHRYSOSTOMOS L. NIKIAS is Professor of Electrical Engineering Systems and Director of the Center for Research on Applied Signal Processing at the University of Southern California. He is also a member of the California Council on Science and Technology.

MIN SHAO is currently a staff scientist at HNC Software, Inc. and formerly worked at the University of Southern California.

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