Fundamentals of adaptive filtering /

Sayed, Ali H.

Fundamentals of adaptive filtering / by Ali H. Sayed. - New Jersey : J. Wiley & Sons : 2003c. - xxxvii, 1125 p. : ill. ; 26 cm.

Includes bibliographical references (p. 1090-1112) and index.

CONTENTS
Chapter 1: Optimal estimation
Chapter 2: Linear estimation
Chapter 3: Constrained linear estimation
Chapter 4: Steepest decent algorithms
Chapter 5: Stochastic gradient algorithms
Chapter 6: Steady state performance of adaptive filters
Chapter 7: Tracking performance of adaptive filters
Chapter 8: Finite precision effect
Chapter 9: Transient performance of adaptive filters
Chapter 10: Block adaptive filters
Chapter 11: The least squares criterion
Chapter 12: Recursive least squares
Chapter 13: RLS array algorithms
Chapter 14: Fast fixed high order filters
Chapter 15: Lattice filters
Chapter 16: Laguerre adaptive filters
Chapter 17: Robust adaptive filters

9788126528776 (pbk)


Adaptive filters.

621.3815 / SAY-F 2010 3042