Nonlinear Signal Processing (eBook)

A Statistical Approach

Gonzalo R. Arce (Autor)

eBook Download: PDF

2005 | 1. Auflage
480 Seiten
Wiley (Verlag)
978-0-471-69184-6 (ISBN)

Infos

Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes. Notably, by concentrating on just two non-Gaussian models, a large set of tools is developed that encompass a large portion of the nonlinear signal processing tools proposed in the literature over the past several decades. Key features include: * Numerous problems at the end of each chapter to aid development and understanding * Examples and case studies provided throughout the book in a wide range of applications bring the text to life and place the theory into context * A set of 60+ MATLAB software m-files allowing the reader to quickly design and apply any of the nonlinear signal processing algorithms described in the book to an application of interest is available on the accompanying FTP site.

Autor

GONZALO R. ARCE received a PhD degree in electrical engineering from Purdue University in 1982. Since 1982, he has been with the faculty of the Department of Electrical and Computer Engineering at the University of Delaware where he is currently Charles Black Evans Distinguished Professor and Chairman. He has held visiting professor appointments at the Unisys Corporate Research Center and at the International Center for Signal and Image Processing, Tampere University of Technology, in Tampere, Finland. He holds seven U.S. patents, and his research has been funded by DoD, NSF, and numerous industrial organizations. He is an IEEE Fellow for his contributions to the theory and applications of nonlinear signal processing.

Rezensionen

"This book will be a valuable textbook for students and researchers
interested in learning nonlinear signal processing techniques
designed to be robust against heavy-tailed error distributions."
(Journal of the American Statistician, December 2008)

"This comprehensive book...will be a good reference for both
the trained statisticians and engineers." (Technometrics,
February 2006)

Produkt-Details

• Erscheint lt. Verlag: 3.1.2005
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Engineering statistics • Signal Processing • Signalverarbeitung • Statistics • Statistik • Statistik in den Ingenieurwissenschaften • Technische Statistik
• ISBN-10: 0-471-69184-4 / 0471691844
• ISBN-13: 978-0-471-69184-6 / 9780471691846