Polynomial Signal Processing / Edition 1

by V. John Mathews, Giovanni L. Sicuranza

Overview

Despite our growing understanding of the properties and capabilities of nonlinear filters, there persists the belief among engineers that these filters are too complex to implement. This book debunks the myth that all nonlinear filters are complex with its coverage of the polynomial filter. It examines all major aspects of the technology, including system modeling, speed analysis, image processing, communications, biological signal processing, semiconductor modeling, neutral sets, and more.

Product Details

ISBN-13:	9780471034148
Publisher:	Wiley
Publication date:	05/01/2000
Series:	Wiley Series in Telecommunications and Signal Processing , #27
Pages:	472
Product dimensions:	6.40(w) x 9.41(h) x 1.04(d)

About the Author

V. John Mathews is the Professor and Head of the School of Electrical Engineering and Computer Science at the Oregon State University, United States. Giovanni L. Sicuranza is the author of Polynomial Signal Processing, published by Wiley.

Table of Contents

Volterra Series Expansions.

Realization of Truncated Volterra Filters.

Multidimensional Volterra Filters.

Parameter Estimation.

Frequency-Domain Methods for Volterra System Identification.

Adaptive Truncated Volterra Filters.

Recursive Polynomial Systems.

Inversion and Time Series Analysis.

Applications of Polynomial Filters.

Some Related Topics and Recent Developments.

Appendices.

References.

Index.

Editorial Reviews

"A first-year graduate-level text that provides an overview of the state of the art in the area of nonlinear signal processing known as polynomial signal processing." (SciTech Book News Vol. 25, No. 2 June 2001)
"The text is clear and easy to follow - an excellent way of getting started in this area." (Ultramicroscopy, Vol.87, 2001)

From the Publisher

A first-year graduate-level text that provides an overview of the state of the art in the area of nonlinear signal processing known as polynomial signal processing.

SciTech Book News

A first-year graduate-level text that provides an overview of the state of the art in the area of nonlinear signal processing known as polynomial signal processing. Presents a comprehensive description of Volterra series expansion, which forms the basis of polynomial systems theory; realization theory for polynomial filters, in both the time and frequency domains; multidimensional extensions; adaptive and nonadaptive estimation of the parameters of a polynomial system model; signal modeling using polynomial time series analysis; and a number of applications of polynomial filtering. Assumes a basic understanding of digital signal processing, linear algebra, and probability theory. The authors are associated with electrical engineering departments at the U. of Utah and U. of Trieste, respectively. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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