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 spectra...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, United Kingdom ; New York, NY, USA
Cambridge University Press
2022
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| Schlagworte: | |
| Online-Zugang: | BSB01 BTU01 FHN01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 24 Nov 2022) |
| Beschreibung: | 1 Online-Ressource (xii, 253 Seiten) |
| ISBN: | 9781108896139 |
| DOI: | 10.1017/9781108896139 |
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| 100 | 1 | |a Diniz, Paulo Sergio Ramirez |d 1956- |0 (DE-588)142917508 |4 aut | |
| 245 | 1 | 0 | |a Online learning and adaptive filters |c Paulo S.R. Diniz [and four others] |
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| 500 | |a Title from publisher's bibliographic system (viewed on 24 Nov 2022) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Adaptive signal processing / Mathematics | |
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Datensatz im Suchindex
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| dewey-full | 621.3822 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3822 |
| dewey-search | 621.3822 |
| dewey-sort | 3621.3822 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1017/9781108896139 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
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| institution | BVB |
| isbn | 9781108896139 |
| language | English |
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| spelling | Diniz, Paulo Sergio Ramirez 1956- (DE-588)142917508 aut Online learning and adaptive filters Paulo S.R. Diniz [and four others] Cambridge, United Kingdom ; New York, NY, USA Cambridge University Press 2022 1 Online-Ressource (xii, 253 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 24 Nov 2022) 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 Adaptive signal processing / Mathematics Machine learning / Mathematics Signal processing / Digital techniques / Mathematics Digital filters (Mathematics) Erscheint auch als Druck-Ausgabe 978-1-108-84212-9 https://doi.org/10.1017/9781108896139 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Diniz, Paulo Sergio Ramirez 1956- Online learning and adaptive filters Adaptive signal processing / Mathematics Machine learning / Mathematics Signal processing / Digital techniques / Mathematics Digital filters (Mathematics) |
| title | Online learning and adaptive filters |
| title_auth | Online learning and adaptive filters |
| title_exact_search | Online learning and adaptive filters |
| title_exact_search_txtP | Online learning and adaptive filters |
| title_full | Online learning and adaptive filters Paulo S.R. Diniz [and four others] |
| title_fullStr | Online learning and adaptive filters Paulo S.R. Diniz [and four others] |
| title_full_unstemmed | Online learning and adaptive filters Paulo S.R. Diniz [and four others] |
| title_short | Online learning and adaptive filters |
| title_sort | online learning and adaptive filters |
| topic | Adaptive signal processing / Mathematics Machine learning / Mathematics Signal processing / Digital techniques / Mathematics Digital filters (Mathematics) |
| topic_facet | Adaptive signal processing / Mathematics Machine learning / Mathematics Signal processing / Digital techniques / Mathematics Digital filters (Mathematics) |
| url | https://doi.org/10.1017/9781108896139 |
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