Adaptive filter theory /

Haykin, Simon S., 1931-

Adaptive filter theory / by Simon Haykin. - 3rd ed. - Upper Saddle River, N.J. : Prentice Hall, c1996. - vii, 989 p. : ill. ; 24 cm. - Prentice Hall information and system sciences series .

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

013322760X(pbk)

95011120


Adaptive filters.

621.3815 / HAY-A 1996 4558