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Adaptive filtering : fundamentals of least mean squares with MATLAB / Alexander D. Poularikas.

By: Material type: TextTextPublication details: Boca Raton : CRC Press, c2015.Description: xx, 343 p. : illustrations ; 24 cmISBN:
  • 9781482253351 (paperback)
Subject(s): DDC classification:
  • 621.3815324 23 P874
Contents:
Chapter 1. Vectors -- chapter 2. Matrices -- chapter 3. Processing of discrete deterministic signals : discrete systems -- chapter 4. Discrete-time random processes -- chapter 5. The Wiener filter -- chapter 6. Eigenvalues of Rx : properties of the error surface -- chapter 7. Newton's and steepest descent methods -- chapter 8. The least mean-square algorithm -- chapter 9. Variants of least mean-square algorithm -- Appendices -- Bibliography -- Index.
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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 621.3815324 P874 (Browse shelf(Opens below)) Available 136544
Total holds: 0

Includes bibliographical references and index.

Chapter 1. Vectors --
chapter 2. Matrices --
chapter 3. Processing of discrete deterministic signals : discrete systems --
chapter 4. Discrete-time random processes --
chapter 5. The Wiener filter --
chapter 6. Eigenvalues of Rx : properties of the error surface --
chapter 7. Newton's and steepest descent methods --
chapter 8. The least mean-square algorithm --
chapter 9. Variants of least mean-square algorithm --
Appendices --
Bibliography --
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.

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