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Item Details
| Title:
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ADAPTIVE FILTERING
FUNDAMENTALS OF LEAST MEAN SQUARES WITH MATLAB(R) |
| By: |
Alexander D. Poularikas |
| Format: |
Paperback |
| List price:
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£96.99 |
| Our price: |
£87.29 |
| Discount: |
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| You save:
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£9.70 |
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| ISBN 10: |
1482253356 |
| ISBN 13: |
9781482253351 |
| Availability: |
Usually dispatched within 1-3 weeks.
 Delivery
rates
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| Stock: |
Currently 0 available |
| Publisher: |
APPLE ACADEMIC PRESS INC. |
| Pub. date: |
30 September, 2014 |
| Pages: |
363 |
| Synopsis: |
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. |
| Illustrations: |
129 black & white illustrations, 19 black & white tables |
| Publication: |
Canada |
| Imprint: |
Apple Academic Press Inc. |
| Returns: |
Returnable |
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