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Polynomial Signal Processing
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John Mathews, University of Utah, USA and Giovanni L. Sicuranza, University of Trieste, Italy
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0471 03414 2
May 2000
Hardback
452pp
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Deconstructing the myth that all nonlinear filters are complex, this volume provides
practical examples and applications for a specific type of nonlinear filter: the Polynomial Signal. Presenting
state-of-the-art research, it provides complete coverage of polynomial signal processing techniques and examines
all major aspects of the technology. Topics discussed in the book include system modeling, speed analysis, image
processing, communications, biological signal processing, semiconductor modeling, neutral sets and related ideas.
- Offers an exhaustive analysis of polynomial signal processing techniques
- Discusses the design of polynomial filters
- Features detailed descriptions of the practical applications of polynomial filters in engineering, science and economics
- Presents invaluable reading for engineers and scientists specializing in telecommunications, mechanical and biomedical engineering, applied mathematics,
economics and geophysics
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 Recent Developments.
Series: Wiley Series in Telecommunications and Signal Processing
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