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Adaptive filtering : fundamentals of least mean squares with MATLAB

By: Poularikas, Alexander D.
Publisher: Boca Raton : CRC Press, 2015Description: xx, 343 p. ; ill., 24 cm.ISBN: 9781482253351.Subject(s): Adaptive filters | Mathematical models | Adaptive signal processing | Least squares | Data processing | MATLABDDC classification: 621.3822 Summary: Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® 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. This largely self-contained text:Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributionsExplains how to find the eigenvalues and eigenvectors of a.
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Includes bibliographical references and index.

Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® 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. This largely self-contained text:Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributionsExplains how to find the eigenvalues and eigenvectors of a.

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