Online Learning and Adaptive Filters

Diniz, Paulo S. R.; de Campos, Marcello L. R.; ALVES MARTINS, Wallace; Lima, Markus V. S.; Apolinário Jr., José A.

doi:10.1017/9781108896139

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Online Learning and Adaptive Filters

Diniz, Paulo S. R.; de Campos, Marcello L. R.; ALVES MARTINS, Wallace et al.

2022 • Cambridge University Press

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https://hdl.handle.net/10993/52999

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10.1017/9781108896139

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Abstract :

[en] 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.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Diniz, Paulo S. R.; Federal University of Rio de Janeiro

de Campos, Marcello L. R.; Federal University of Rio de Janeiro

ALVES MARTINS, Wallace ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Lima, Markus V. S.; Federal University of Rio de Janeiro

Apolinário Jr., José A.; Instituto Militar de Engenharia

External co-authors :

yes

Language :

English

Title :

Online Learning and Adaptive Filters

Publication date :

2022

Publisher :

Cambridge University Press

ISBN/EAN :

978-1-108-84212-9

Number of pages :

250

Focus Area :

Security, Reliability and Trust

Additional URL :

https://doi.org/10.1017/9781108896139

Available on ORBilu :

since 07 December 2022

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