Online Learning and Adaptive Filters

— —

Paulo S. R. Diniz (Universidade Federal do Rio de Janeiro) Marcello L. R. de Campos (Universidade Federal do Rio de Janeiro)

Online Learning and Adaptive Filters

Paulo S. R. Diniz (Universidade Federal do Rio de Janeiro), Marcello L. R. de Campos (Universidade Federal do Rio de Janeiro), Wallace A. Martins (University of Luxembourg) , Markus V. S. Lima (Universidade Federal do Rio de Janeiro)

$154.95

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Cambridge University Press
08 December 2022

Cybernetics & systems theory; Distributed systems; Systems analysis & design; Signal processing

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.

By: Paulo S. R. Diniz (Universidade Federal do Rio de Janeiro), Marcello L. R. de Campos (Universidade Federal do Rio de Janeiro), Wallace A. Martins (University of Luxembourg), Markus V. S. Lima (Universidade Federal do Rio de Janeiro), Jose A. Apolinário, Jr
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 251mm, Width: 175mm, Spine: 19mm
Weight: 630g
ISBN: 9781108842129
ISBN 10: 1108842127
Pages: 300
Publication Date: 08 December 2022
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Active

Paulo S. R. Diniz is a Professor at the Universidade Federal do Rio de Janeiro and a Fellow of the IEEE and of EURASIP. He is a Senior Editor of the IEEE Open Journal of Signal Processing and is co-author of a CUP textbook on Digital Signal Processing. He is also a member of the National Academy of Engineering and the Brazilian Academy of Science. Marcello L. R. de Campos is a Professor at the Universidade Federal do Rio de Janeiro. He is a Senior Member of the IEEE and of the Brazilian Telecommunications Society, and member of the Brazilian Mathematical Society and of the Society for Industrial and Applied Mathematics. Wallace A. Martins is an Associate Professor at the Universidade Federal do Rio de Janeiro and a researcher with the University of Luxembourg. He is an Associate Editor for the IEEE Signal Processing Letters, and is currently a Senior Member of the IEEE and a member of the Brazilian Telecommunications Society. Markus V. S. Lima is an Associate Professor at the Universidade Federal do Rio de Janeiro and Chair of the IEEE Signal Processing Chapter in Rio de Janeiro. He is also a member of the Brazilian Telecommunications Society. José A. Apolinário, Jr. is an Associate Professor at the Military Institute of Engineering. He is a Senior Member of the IEEE and the Brazilian Society of Telecommunications.