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Book Cover
E-book
Author Zaknich, Anthony

Title Principles of adaptive filters and self-learning systems / A. Zaknich
Published [London] : Springer London, 2005

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Description 1 online resource (xxii, 386 pages) : illustrations
Series Advanced textbooks in control and signal processing
Advanced textbooks in control and signal processing.
Contents Adaptive Filtering -- Linear Systems and Stochastic Processes -- Modelling -- Optimisation and Least Squares Estimation -- Parametric Signal and System Modelling -- Classical Filters and Spectral Analysis -- Optimum Wiener Filter -- Optimum Kalman Filter -- Power Spectral Density Analysis -- Adaptive Filter Theory -- Adaptive Finite Impulse Response Filters -- Frequency Domain Adaptive Filters -- Adaptive Volterra Filters -- Adaptive Control Systems -- Nonclassical Adaptive Systems -- to Neural Networks -- to Fuzzy Logic Systems -- to Genetic Algorithms -- Adaptive Filter Application -- Applications of Adaptive Signal Processing -- Generic Adaptive Filter Structures
Summary "Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate courses in adaptive and self-learning systems for signal processing applications. Important topics are introduced and discussed sufficiently to give the reader adequate background for confident further investigation. The material is presented in a progression from a short introduction to adaptive systems through modelling, classical filters and spectral analysis to adaptive control theory, nonclassical adaptive systems and applications."--Jacket
Bibliography Includes bibliographical references and index
In Springer e-books
Subject Adaptive filters -- Design and construction -- Mathematics
Artificial intelligence.
Adaptive filters -- Design -- Mathematics
Artificial Intelligence
artificial intelligence.
Ingénierie.
Artificial intelligence
Form Electronic book
ISBN 1852339845
9781852339845
9781846281211
1846281210
6611328572
9786611328573