A Rapid Introduction to Adaptive Filtering
Springer Berlin (Verlag)
978-3-642-30298-5 (ISBN)
Wiener Filtering and examples.- Steepest descent procedure.- Stochastic gradient adaptive filtering: LMS (Least Mean Squares), NLMS (Normalized Mean Squares).- Sign-error algorithm, APA (Affine Projection Algorithms).- Convergence results.- Applications.- LS (Least Squares) and RLS (Recursive Least Squares).- Computational complexity and fast implementations.- Applications.
From the reviews:
"Digital signal processing (DSP) is a popular course for undergraduate students in electrical and communications engineering. ... This book can be read in a few days. The book has six chapters, including a chapter each for an introduction and advanced topics. The presentation is easy to read and understandable, and the authors provide both theoretical and mathematical treatments of the material. ... The book could also serve well as a quick reference for engineers and students who are developing DSP solutions." (S. Ramakrishnan, ACM Computing Reviews, December, 2012)
Erscheint lt. Verlag | 4.8.2012 |
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Reihe/Serie | SpringerBriefs in Electrical and Computer Engineering |
Zusatzinfo | XII, 122 p. 23 illus. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 218 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | APA Affine Projection Algorithms • Computational Complexity • LMS Least Mean Squares • LS Least Squares and RLS Recursive Least Squares • NLMS Normalized Mean Squares • Sign-error Algorithm • steepest Descent Procedures • Stochastic Gradient Adaptive Filtering • Wiener Filtering |
ISBN-10 | 3-642-30298-X / 364230298X |
ISBN-13 | 978-3-642-30298-5 / 9783642302985 |
Zustand | Neuware |
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