Adaptive Filtering Algorithms and Practical Implementation 4th edition by Paulo Diniz ISBN 1461441064 9781461441069

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ISBN 10: 1461441064
ISBN 13: 9781461441069
Author: Paulo S. R. Diniz
In the fourth edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.R. Diniz presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are presented in a unified framework, using clear notations that facilitate actual implementation. The main algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Many examples address problems drawn from actual applications. New material to this edition includes: Analytical and simulation examples in Chapters 4, 5, 6 and 10 Appendix E, which summarizes the analysis of set-membership algorithm Updated problems and references Providing a concise background on adaptive filtering, this book covers the family of LMS, affine projection, RLS and data-selective set-membership algorithms as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Several problems are included at the end of chapters, and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test algorithms in a quick manner. Additionally, the book provides easy access to working algorithms for practicing engineers.

Adaptive Filtering Algorithms and Practical Implementation 4th Table of contents:

1. Introduction to Adaptive Filtering

2. Fundamentals of Adaptive Filtering

3. The Least-Mean-Square (LMS) Algorithm

4. LMS-Based Algorithms

5. Conventional RLS Adaptive Filter

6. Data-Selective Adaptive Filtering

7. Adaptive Lattice-Based RLS Algorithms

8. Fast Transversal RLS Algorithms

9. QR-Decomposition-Based RLS Filters

10. Adaptive IIR Filters

11. Nonlinear Adaptive Filtering

12. Subband Adaptive Filters

13. Blind Adaptive Filtering

14. Complex Differentiation

15. Quantization Effects in the LMS Algorithm

16. Quantization Effects in the RLS Algorithm

17. Kalman Filters

18. Analysis of Set-Membership Affine Projection Algorithm

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