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:
"synopsis" may belong to another edition of this title.
An excellent introduction to a particular type of non-Gaussian signal processing which is specified by the stable distributions, focusing on their applications. Stresses the statistical properties, methods and uses of symmetric alpha-stable distributions, emphasizing their theoretical aspects. Includes an overview of the latest application developments and future trends of alpha-stable distributions, with a brief description of on-going work in detection, blind channel identification and deconvolution, robust beamforming, adaptive interference mitigation as well as their implementation to communications, sonar, radar and other engineering areas.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.
"About this title" may belong to another edition of this title.
Book Description Wiley-Interscience, 1995. Hardcover. Book Condition: New. Never used!. Bookseller Inventory # P11047110647X
Book Description Wiley-Interscience. Hardcover. Book Condition: New. 047110647X New Condition. Bookseller Inventory # NEW7.1819932