Nonlinear Digital Filters: Analysis and Applications



Nonlinear Digital Filters: Analysis and Applications By W. K. Ling
Publisher: Academic Press 2007 | 216 Pages | ISBN: 0123725364 | File type: PDF | 9 mb


This book provides an easy to understand overview of nonlinear behavior in digital filters, showing how it can be utilized or avoided when operating nonlinear digital filters. It gives techniques for analyzing discrete-time systems with discontinuous linearity, enabling the analysis of other nonlinear discrete-time systems, such as sigma delta modulators, digital phase lock loops and turbo coders.

Features:
. Uses new methods based on symbolic dynamics, enabling the engineer more easily to operate reliable nonlinear digital filters
. Gives practical, 'real-world' applications of nonlinear digital filter
. Includes many examples, together with Matlab source code available on an accompanying website

Nonlinear Digital Filters: Analysis and Applications is ideal for professional engineers working with signal processing applications, as well as advanced undergraduates and graduates conducting a nonlinear filter analysis project.

?กค Uses new methods based on symbolic dynamics, enabling the engineer more easily to operate reliable nonlinear digital filters
?กค Gives practical, 'real-world' applications of nonlinear digital filter
?กค Includes many examples, together with Matlab source code available on an accompanying website
About the Author
Dr. Ling received the B.Eng.(Hons) and M.Phil. degrees from the department of Electrical and Electronic Engineering, the Hong Kong University of Science and Technology, in 1997 and 2000, respectively, and a Ph.D. degree in the department of Electronic and Information Engineering from the Hong Kong Polytechnic University in 2003. In 2004, he joined the King's College London as a Lecturer. His research interests include discontinuous nonlinear system theory with applications to digital filters with two's complement arithmetic and sigma delta modulators, continuous constrained optimization theory with applications to filters, filter banks and sigma delta modulators design, filter banks and wavelets theory with applications to multimedia and biomedical signal processing, and fuzzy, impulsive and optimal control theory with applications to sigma delta modulators and power electronics.


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