Adaptive Filtering Algorithms and Practical Implementation
Titre:
Adaptive Filtering Algorithms and Practical Implementation
ISBN (Numéro international normalisé des livres):
9783030290573
Auteur personnel:
Edition:
5th ed. 2020.
PRODUCTION_INFO:
Cham : Springer International Publishing : Imprint: Springer, 2020.
Description physique:
XVIII, 495 p. 232 illus., 23 illus. in color. online resource.
Table des matières:
Introduction to Adaptive Filtering -- Fundamentals of Adaptive Filtering -- The Least-Mean-Square (LMS) Algorithm -- LMS-Based Algorithms -- LMS-Based Algorithms -- Conventional RLS Adaptive Filter -- Set-Membership Adaptive Filtering -- Adaptive Lattice-Based RLS Algorithms -- Fast Transversal RLS Algorithms -- QR-Decomposition-Based RLS Filters -- Adaptive IIR Filters -- Nonlinear Adaptive Filtering -- Subband Adaptive Filters -- Blind Adaptive Filtering -- Kalman Filtering -- Complex Differentiation -- Quantization Effects in the LMS Algorithm -- Quantization Effects in the RLS Algorithm -- Analysis of Set-Membership Affine Projection Algorithm -- Index.
Extrait:
In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter 'Kalman Filtering' is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.
Auteur collectif ajouté:
Accès électronique:
Full Text Available From Springer Nature Engineering 2020 Packages
Langue:
Anglais