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Polynomial signal processing

Author: V John Mathews; Giovanni L Sicuranza
Publisher: New York : Wiley, ©2000.
Series: Wiley series in telecommunications and signal processing.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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,  Read more...
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Additional Physical Format: Online version:
Mathews, V. John.
Polynomial signal processing.
New York : Wiley, ©2000
(OCoLC)606299943
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: V John Mathews; Giovanni L Sicuranza
ISBN: 0471034142 9780471034148
OCLC Number: 40996093
Notes: "A Wiley-Interscience publication."
Description: xvii, 452 pages : illustrations ; 24 cm.
Contents: 1. Introduction --
2. Volterra Series Expansions --
3. Realization of Truncated Volterra Filters --
4. Multidimensional Volterra Filters --
5. Parameter Estimation --
6. Frequency-Domain Methods for Volterra System Identification --
7. Adaptive Truncated Volterra Filters --
8. Recursive Polynomial Systems --
9. Inversion and Time Series Analysis --
10. Applications of Polynomial Filters --
11. Some Related Topics and Recent Developments --
App. A. Properties of Kronecker Products --
App. B. LU Decomposition of Square Matrices --
App. C. Linear Lattice Predictors.
Series Title: Wiley series in telecommunications and signal processing.
Responsibility: V. John Mathews, Giovanni L. Sicuranza.
More information:

Abstract:

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.

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