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  • 1
    Online Resource
    Online Resource
    Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press
    UID:
    b3kat_BV048665304
    Format: 1 Online-Ressource (xii, 253 Seiten)
    ISBN: 9781108896139
    Content: 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
    Note: Title from publisher's bibliographic system (viewed on 24 Nov 2022)
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-108-84212-9
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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