TY  - BOOK
AU  - Haykin,Simon S.
TI  - Adaptive filter theory
SN  - 013322760X(pbk)
U1  - 621.3815 
PY  - 1996///
CY  - Upper Saddle River, N.J.
PB  - Prentice Hall
KW  - Adaptive filters
N1  - Includes bibliographical references (p. 941-977) and index; CONTENTS
Chapter 1: Discrete time signal processing
Chapter 2: Stationary processes and models
Chapter 3: spectrum analysis
Chapter 4: Eigen-analysis
Chapter 5: Wiener Fillers
Chapter 6: Linear prediction
Chapter 7: Kalman filters
Chapter 8: Method of steepest descent
Chapter 9: Least mean square algorithm
Chapter 10: Frequency domain adoptive filters
Chapter 11: Methods of least squares
Chapter 12: Rotations and reflections
Chapter 13: Recursive least squares algorithm
Chapter 14: Square root adaptive filters
Chapter 15: Order recursive adaptive filters
Chapter 16: Tracking of time varying systems
Chapter 17: Finite Precision effects
Chapter 18: Blind deconvolution
Chapter 19: Back Propagation learning
Chapter 20: Radial bases function networks
ER  -