Fundamentals of adaptive filtering / by Ali H. Sayed.

By: Sayed, Ali HMaterial type: TextTextPublisher: New Jersey : J. Wiley & Sons : 2003cDescription: xxxvii, 1125 p. : ill. ; 26 cmISBN: 9788126528776 (pbk)Subject(s): Adaptive filtersDDC classification: 621.3815
Contents:
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
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Item type Current location Call number Copy number Status Date due Barcode Item holds
Books Books Namal Library
Electrical Engineering
621.3815 SAY-F 2010 3042 (Browse shelf) 1 Available 0003042
Books Books Namal Library
Electrical Engineering
621.3815 SAY-F 2010 3300 (Browse shelf) 2 Available 0003300
Total holds: 0

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

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