Paulo S. R. Diniz

Adaptive Filtering (eBook, PDF)

Algorithms and Practical Implementation

• Format: PDF

Produktbeschreibung

Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material:

-Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 568
• Erscheinungstermin: 14. März 2013
• Englisch
• ISBN-13: 9781475736373
• Artikelnr.: 43987974