Adaptive Filtering

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  • Adaptive Filtering Book Detail

  • Author : Paulo S.R. Diniz
  • Release Date : 2013-03-14
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Pages : 582
  • ISBN 13 : 1475736371
  • File Size : 30,30 MB

Adaptive Filtering by Paulo S.R. Diniz PDF Summary

Book Description: 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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