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portada Online Learning and Adaptive Filters
Type
Physical Book
Language
English
Pages
300
Format
Hardcover
Dimensions
24.4 x 17.0 x 1.6 cm
Weight
0.63 kg.
ISBN13
9781108842129

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.

New Book Imported to New Zealand *
Delivery: 10 Apr - 17 Apr Shipping: 3 to 4 business days.
NZ$ 272.93
* Import costs and 15% GST included in the price ✅
NZ$ 272.93
Delivery to any New Zealand address between Friday, April 10 and Friday, April 17

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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