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Online Learning and Adaptive Filters
Paulo S. R. Diniz
(Author)
·
Marcello L. R. de Campos
(Author)
·
Wallace A. Martins
(Author)
·
Cambridge University Press
· Hardcover
Online Learning and Adaptive Filters - Diniz, Paulo S. R. ; de Campos, Marcello L. R. ; Martins, Wallace A.
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Origin: U.S.A.
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Synopsis "Online Learning and Adaptive Filters"
Learn to solve the unprecedented challenges facing Online Learning and Adaptive Signal Processing in this concise, intuitive text. The ever-increasing amount of data generated every day requires new strategies to tackle issues such as: combining data from a large number of sensors; improving spectral usage, utilizing multiple-antennas with adaptive capabilities; or learning from signals placed on graphs, generating unstructured data. Solutions to all of these and more are described in a condensed and unified way, enabling you to expose valuable information from data and signals in a fast and economical way. The up-to-date techniques explained here can be implemented in simple electronic hardware, or as part of multi-purpose systems. Also featuring alternative explanations for online learning, including newly developed methods and data selection, and several easily implemented algorithms, this one-of-a-kind book is an ideal resource for graduate students, researchers, and professionals in online learning and adaptive filtering.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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