This enlightened engineering approach to the study of adaptive filters employs MATLAB and computer simulations to clarify theoretical results. A highly accessible text, Adaptive Filters elucidates the concept of convergence and provides many application examples. The comprehensive coverage includes the theory of Wiener filters, eigenanalysis, the complete family of LMS-based algorithms, recursive least-squares and a new treatment of tracking.
Table of Contents
Chapter 1 Introduction
Chapter 2 Discrete-Time Signals and Systems
Chapter 3 Wiener Filters
Chapter 4 Eigenanalysis and Performance Surface
Chapter 5 Search Methods
Chapter 6 LMS Algorithm
Chapter 7 Transform Domain Adaptive Filters
Chapter 8 Block Implementation of Adaptive Filters
Chapter 9 Subband Adaptive Filters
Chapter 10 IIR Adaptive Filters
Chapter 11 Lattice Filters
Chapter 12 Method of Least-Squares
Chapter 13 Fast RLS Algorithms
Chapter 14 Tracking
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