Adaptive Filter Theory

Haykin Simon

ISBN 10: 8131708691 / ISBN 13: 9788131708699

Edité par Pearson Education, 2008

A propos de cet article

pp. xvi + 920 Figures. N° de réf. du vendeur 7453874

Détails bibliographiques

Titre : Adaptive Filter Theory

Éditeur : Pearson Education

Date d'édition : 2008

Reliure : Couverture souple

Etat : New

Edition : 4ème Édition

A propos de ce titre

Synopsis :

Please Read Notes: Brand New, International Softcover Edition, Printed in black and white pages, minor self wear on the cover or pages, Sale restriction may be printed on the book, but Book name, contents, and author are exactly same as Hardcover Edition. Fast delivery through DHL/FedEx express.

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CONTENTS

Preface
Acknowledgments
Background and Preview

• Chapter 1 Stochastic Processes and Models
• Chapter 2 Wiener Filters
• Chapter 3 Linear Prediction
• Chapter 4 Method of Steepest Descent
• Chapter 5 Least-Mean-Square Adaptive Filters
• Chapter 6 Normalized Least-Mean-Square Adaptive Filters
• Chapter 7 Frequency-Domain and Subband Adaptive Filters
• Chapter 8 Method of Least Squares
• Chapter 9 Recursive Least-Square Adaptive Filters
• Chapter 10 Kalman Filters
• Chapter 11 Square-Root Adaptive Filters
• Chapter 12 Order-Recursive Adaptive Filters
• Chapter 13 Finite-Precision Effects
• Chapter 14 Tracking of Time-Varying Systems
• Chapter 15 Adaptive Filters Using Infinite-Duration Impulse Response Structures
• Chapter 16 Blind Deconvolution
• Chapter 17 Back-Propagation Learning

Epilogue

• Appendix A Complex Variables
• Appendix B Differentiation with Respect to a Vector
• Appendix C Method of Lagrange Multipliers
• Appendix D Estimation Theory
• Appendix E Eigenanalysis
• Appendix F Rotations and Reflections
• Appendix G Complex Wishart Distribution
• Glossary
• Bibliography
• Index