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Theory of Affine Projection Algorithms for Adaptive Filtering (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R3,414
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Theory of Affine Projection Algorithms for Adaptive Filtering (Paperback, Softcover reprint of the original 1st ed. 2016)
Series: Mathematics for Industry, 22
Expected to ship within 10 - 15 working days
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This book focuses on theoretical aspects of the affine projection
algorithm (APA) for adaptive filtering. The APA is a natural
generalization of the classical, normalized least-mean-squares
(NLMS) algorithm. The book first explains how the APA evolved from
the NLMS algorithm, where an affine projection view is emphasized.
By looking at those adaptation algorithms from such a geometrical
point of view, we can find many of the important properties of the
APA, e.g., the improvement of the convergence rate over the NLMS
algorithm especially for correlated input signals. After the birth
of the APA in the mid-1980s, similar algorithms were put forward by
other researchers independently from different perspectives. This
book shows that they are variants of the APA, forming a family of
APAs. Then it surveys research on the convergence behavior of the
APA, where statistical analyses play important roles. It also
reviews developments of techniques to reduce the computational
complexity of the APA, which are important for real-time
processing. It covers a recent study on the kernel APA, which
extends the APA so that it is applicable to identification of not
only linear systems but also nonlinear systems. The last chapter
gives an overview of current topics on variable parameter APAs. The
book is self-contained, and is suitable for graduate students and
researchers who are interested in advanced theory of adaptive
filtering.
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