Research Catalog
Adaptive filtering primer with MATLAB
- Title
- Adaptive filtering primer with MATLAB / Alexander D. Poularikas, Zayed M. Ramadan.
- Author
- Poularikas, Alexander D., 1933-
- Publication
- Boca Raton : CRC/Taylor & Francis, 2006.
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1 Item
| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
| Text | Request in advance | TK7872.F5 P68 2006 | Off-site |
Holdings
Details
- Additional Authors
- Ramadan, Zayed M.
- Description
- 223 pages : illustrations; 24 cm
- Summary
- "Adaptive Filtering Primer with MATLAB clearly explains the fundamentals of adaptive filtering supported by practical examples and computer experiments and functions. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean-square (LMS) algorithm. They also supply many MATLAB functions and m-files along with computer experiments to illustrate how to apply the concepts to real-world problems. The book includes problems along with hints, suggestions, and solutions for solving them. An appendix on matrix computations rounds out the self-contained coverage."--BOOK JACKET.
- Subjects
- Bibliography (note)
- Includes bibliographical references (p. 205) and index.
- Contents
- Ch. 1. Introduction -- Ch. 2. Discrete-time signal processing -- Ch. 3. Random variables, sequences, and stochastic processes -- Ch. 4. Wiener filters -- Ch. 5. Eigenvalues of R[subscript x] - properties of the error surface -- Ch. 6. Newton and steepest-descent method -- Ch. 7. The least mean-square (LMS) algorithm -- Ch. 8. Variations of LMS algorithms -- Ch. 9. Least squares and recursive least-squares signal processing.
- ISBN
- 0849370434
- LCCN
- 2005055996
- OCLC
- OCM62342212
- SCSB-5237277
- Owning Institutions
- Columbia University Libraries