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ADAPTIVE FILTER THEORY: 4TH (FOURTH) EDITION By Simon Haykin

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
EAN
8580000602661
Book Title
Adaptive Filter Theory: 4th (fourth) edition
Narrative Type
Nonfiction
ISBN-10
B0085AY57Q
Genre
Adaptation
ISBN
9780130901262
Subject Area
Technology & Engineering
Publication Name
Adaptive Filter Theory
Item Length
7.2 in
Publisher
Prentice Hall PTR
Subject
Electrical
Publication Year
2001
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.4 in
Author
Simon Haykin
Item Width
9.4 in
Item Weight
43.2 Oz
Number of Pages
936 Pages

About this product

Product Information

Adaptive Filter Theory, 4e, is ideal for courses in Adaptive Filters. Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fourth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible.

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0130901261
ISBN-13
9780130901262
eBay Product ID (ePID)
1813871

Product Key Features

Author
Simon Haykin
Publication Name
Adaptive Filter Theory
Format
Hardcover
Language
English
Subject
Electrical
Publication Year
2001
Type
Textbook
Subject Area
Technology & Engineering
Number of Pages
936 Pages

Dimensions

Item Length
7.2 in
Item Height
1.4 in
Item Width
9.4 in
Item Weight
43.2 Oz

Additional Product Features

Edition Number
4
LCCN
2001-021604
Lc Classification Number
Tk7872.F5h368 2002
Table of Content
Background and Overview. 1. Stochastic Processes and Models. 2. Wiener Filters. 3. Linear Prediction. 4. Method of Steepest Descent. 5. Least-Mean-Square Adaptive Filters. 6. Normalized Least-Mean-Square Adaptive Filters. 7. Transform-Domain and Sub-Band Adaptive Filters. 8. Method of Least Squares. 9. Recursive Least-Square Adaptive Filters. 10. Kalman Filters as the Unifying Bases for RLS Filters. 11. Square-Root Adaptive Filters. 12. Order-Recursive Adaptive Filters. 13. Finite-Precision Effects. 14. Tracking of Time-Varying Systems. 15. Adaptive Filters Using Infinite-Duration Impulse Response Structures. 16. Blind Deconvolution. 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. Abbreviations. Principal Symbols. Bibliography. Index.
Copyright Date
2002
Target Audience
College Audience
Dewey Decimal
621.3815/324
Dewey Edition
21
Illustrated
Yes

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