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.between subband and block adaptive filtering (also known as frequency-domain adaptive filters) algorithms. ... The affine projection algorithm is included in Chapter 4, and some important issues related to the LMS algorithm behavior in fast adaptation and ... Also available, upon request to the author, is a set of master transparencies as well as the Matlab codes for all the algorithms described in the text.

Title | : | Adaptive Filtering |

Author | : | Paulo S.R. Diniz |

Publisher | : | Springer Science & Business Media - 2013-03-14 |

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