Adaptive IIR Filtering in Signal Processing and Control
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Summary
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.
Editorial Reviews
". . .this is one of the better books in the field of system theory and signal processing. It is worth reading, and is definitely recommended. "
---International Journal of Electronics and Communications
