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Adaptive Filtering: Fundamentals of Least Mean Squares with Matlab(r)
Contributor(s): Poularikas, Alexander D. (Author)
ISBN: 1482253356     ISBN-13: 9781482253351
Publisher: CRC Press
OUR PRICE:   $109.25  
Product Type: Paperback - Other Formats
Published: September 2014
Qty:
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
- Technology & Engineering | Electrical
- Technology & Engineering | Telecommunications
Dewey: 621.382
LCCN: 2014027999
Physical Information: 0.8" H x 6.1" W x 8.9" (1.15 lbs) 364 pages
 
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Publisher Description:

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(R) 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(R), 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(R) clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems.