TY  - BOOK
AU  - Poularikas,Alexander D.
TI  - Adaptive filtering: fundamentals of least mean squares with MATLAB 
SN  - 9781482253351 (paperback)
U1  - 621.3815324 23
PY  - 2015///
CY  - Boca Raton
PB  - CRC Press
KW  - Adaptive filters
KW  - Mathematical models
KW  - Adaptive signal processing
KW  - Mathematics
KW  - Least squares
KW  - Data processing
N1  - 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
N2  - 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
ER  -