Adaptive Filtering

Fundamentals of Least Mean Squares with MATLAB®

Nonfiction, Science & Nature, Technology, Electricity, Mathematics, Statistics
Cover of the book Adaptive Filtering by Alexander D. Poularikas, CRC Press
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Author: Alexander D. Poularikas ISBN: 9781351831024
Publisher: CRC Press Publication: December 19, 2017
Imprint: CRC Press Language: English
Author: Alexander D. Poularikas
ISBN: 9781351831024
Publisher: CRC Press
Publication: December 19, 2017
Imprint: CRC Press
Language: English

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 distributions
  • Explains how to find the eigenvalues and eigenvectors of a matrix and the properties of the error surfaces
  • Explores the Wiener filter and its practical uses, details the steepest descent method, and develops the Newton’s algorithm
  • Addresses the basics of the LMS adaptive filter algorithm**,** considers LMS adaptive filter variants, and provides numerous examples
  • Delivers a concise introduction to MATLAB®, supplying problems, computer experiments, and more than 110 functions and script files

Featuring robust appendices complete with mathematical tables and formulas, Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

Featuring robust appendices complete with mathematical tables and formulas, Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems.

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