Adaptive IIR filtering in signal processing and control
Author(s)
Bibliographic Information
Adaptive IIR filtering in signal processing and control
（Electrical engineering and electronics, 90）
Marcel Dekker, c1995
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Integrates rational approximation with adaptive filtering, providing viable, numerically reliable procedures for creating adaptive infinite impulse response (IIR) filters. The choice of filter structure to adapt, algorithm design and the approximation properties for each type of algorithm are also addressed. This work recasts the theory of adaptive IIR filters by concentrating on recursive lattice filters, freeing systems from the need for direct-form filters.;A solutions manual is available for instructors only. College or university bookstores may order five or more copies at a special student price which is available upon request.
Table of Contents
- Recursive filter structures
- the Beurling-Lax theorem, Hankel forms and classical identification
- adaptive IIR filtering in signal processing and control
- stability of time-varying recursive filters
- gradient descent algorithms
- the Steiglitz-McBride family of algorithms
- hyperstable algorithms
- adaptive notch filters
- perspectives and open problems
- computations with lattice filters.
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