Alexander D. (The University of Alabama in Huntsville, USA) Poularikas 
Adaptive Filtering [EPUB ebook] 
Fundamentals of Least Mean Squares with MATLAB

Ondersteuning

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.

€124.84
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Formaat EPUB ● Pagina’s 363 ● ISBN 9781351831024 ● Uitgeverij CRC Press ● Gepubliceerd 2017 ● Downloadbare 3 keer ● Valuta EUR ● ID 5576635 ● Kopieerbeveiliging Adobe DRM
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