Adaptive Filtering

<p>Adaptive filters are used in many diverse applications appearing in everything from military instruments to cellphones and home appliances. <b>Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® </b>covers the core concepts of this important field focusing on a vital part of the statistical signal processing area—the least mean square (LMS) adaptive filter. </p><p>This largely self-contained text:</p><ul> <li>Discusses random variables stochastic processes vectors matrices determinants discrete random signals and probability distributions</li> <li>Explains how to find the eigenvalues and eigenvectors of a matrix and the properties of the error surfaces</li> <li>Explores the Wiener filter and its practical uses details the steepest descent method and develops the Newton’s algorithm</li> <li>Addresses the basics of the LMS adaptive filter algorithm<b></b> considers LMS adaptive filter variants and provides numerous examples</li> <li>Delivers a concise introduction to MATLAB® supplying problems computer experiments and more than 110 functions and script files</li> </ul><p>Featuring robust appendices complete with mathematical tables and formulas<b> Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® </b>clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems.</p>