Arce Nonlinear Signal Processing

A Statistical Approach
1. Auflage 2004
ISBN: 978-0-471-69184-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 480 Seiten, E-Book

Nonlinear Signal Processing: A Statistical Approach focuses onunifying the study of a broad and important class of nonlinearsignal processing algorithms which emerge from statisticalestimation principles, and where the underlying signals arenon-Gaussian, rather than Gaussian, processes. Notably, byconcentrating on just two non-Gaussian models, a large set of toolsis developed that encompass a large portion of the nonlinear signalprocessing tools proposed in the literature over the past severaldecades.
Key features include:
* Numerous problems at the end of each chapter to aid developmentand understanding
* Examples and case studies provided throughout the book in a widerange of applications bring the text to life and place the theoryinto context
* A set of 60+ MATLAB software m-files allowing the reader toquickly design and apply any of the nonlinear signal processingalgorithms described in the book to an application of interest isavailable on the accompanying FTP site.

Autoren/Hrsg.

Arce, Gonzalo R.

Über Autor(innen)

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.