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Online Learning and Adaptive Filters.
・ISBN 978-1-108-84212-9 hard GB£ 83.00
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| 著者・編者 | Diniz, Paulo S. R. / de Campos, Marcello L. R. / Martins, Wallace A. / Lima, Markus V. S. / Apolinario, Jr, Jose A., |
|---|---|
| 出版社 | (Cambridge University Press, UK) |
| 出版年月 | 2022 |
| ページ数 | 268 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A00-96116＞ |
解説
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.