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Adaptive Filter Theory - Simon Haykin - 4th Edition

Adaptive Filter Theory – Simon Haykin – 4th Edition

For courses in Adaptive Filters. examines both the mathematical behind various linear adaptive filters and the of supervised multilayer perceptrons. In its fourth , this highly successful has been updated and refined to stay current with the field and develop in as unified and accessible a manner as possible.

  • Consolidates the mathematical treatment of linear adaptive filters.
  • Improves the presentation of on statistical LMS theory and statistical RLS theory.
  • Expands the treatment of normalized LMS filters, and introduces the more case of affine projection filters.
  • Introduces sub-band adaptive filters.
  • Repositions the teaching of Kalman filters after the treatment of RLS filters, thereby enhancing the unified treatment of square-root adaptive filters and order recursive adaptive filters.
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.
Appendix A. Complex Variables.
Appendix B. Differentiation with Respect to a Vector.
Appendix C. Method of Lagrange Multipliers.
Appendix D. Theory.
Appendix E. Eigenanalysis.
Appendix F. Rotations and Reflections.
Appendix G. Complex Wishart Distribution.
Principal Symbols.

Title: Adaptive Filter Theory
Author: Simon Haykin
Edition: 4th Edition
ISBN: 0130901261 | 9780130901262
Type: Solution Manual
Language: English
Signal Theory

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