Wireless AI: wireless sensing, positioning, IoT, and communications
With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing tec...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2019
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| Schlagwörter: | |
| Links: | https://doi.org/10.1017/9781108597234 https://doi.org/10.1017/9781108597234 https://doi.org/10.1017/9781108597234 |
| Zusammenfassung: | With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 04 Oct 2019) |
| Umfang: | 1 Online-Ressource (xvi, 606 Seiten) |
| ISBN: | 9781108597234 |
| DOI: | 10.1017/9781108597234 |
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| 520 | |a With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications | ||
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Datensatz im Suchindex
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| author | Liu, K. J. Ray 1961- Wang, Beibei ca. 20./21. Jh |
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| discipline | Informatik |
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| illustrated | Not Illustrated |
| indexdate | 2025-01-11T15:13:49Z |
| institution | BVB |
| isbn | 9781108597234 |
| language | English |
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| physical | 1 Online-Ressource (xvi, 606 Seiten) |
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| spelling | Liu, K. J. Ray 1961- (DE-588)135610095 aut Wireless AI wireless sensing, positioning, IoT, and communications K. J. Ray Liu, Beibei Wang Cambridge Cambridge University Press 2019 1 Online-Ressource (xvi, 606 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 04 Oct 2019) With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications Wireless communication systems Artificial intelligence Internet of things Indoor positioning systems (Wireless localization) Internet der Dinge (DE-588)7713781-4 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Drahtloses Sensorsystem (DE-588)4789222-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Datenfunknetz (DE-588)4216132-0 gnd rswk-swf Datenfunknetz (DE-588)4216132-0 s Künstliche Intelligenz (DE-588)4033447-8 s Internet der Dinge (DE-588)7713781-4 s Maschinelles Lernen (DE-588)4193754-5 s Drahtloses Sensorsystem (DE-588)4789222-5 s 1\p DE-604 Wang, Beibei ca. 20./21. Jh. (DE-588)1197928243 aut Erscheint auch als Druck-Ausgabe 978-1-108-49786-2 https://doi.org/10.1017/9781108597234 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Liu, K. J. Ray 1961- Wang, Beibei ca. 20./21. Jh Wireless AI wireless sensing, positioning, IoT, and communications Wireless communication systems Artificial intelligence Internet of things Indoor positioning systems (Wireless localization) Internet der Dinge (DE-588)7713781-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Drahtloses Sensorsystem (DE-588)4789222-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Datenfunknetz (DE-588)4216132-0 gnd |
| subject_GND | (DE-588)7713781-4 (DE-588)4033447-8 (DE-588)4789222-5 (DE-588)4193754-5 (DE-588)4216132-0 |
| title | Wireless AI wireless sensing, positioning, IoT, and communications |
| title_auth | Wireless AI wireless sensing, positioning, IoT, and communications |
| title_exact_search | Wireless AI wireless sensing, positioning, IoT, and communications |
| title_full | Wireless AI wireless sensing, positioning, IoT, and communications K. J. Ray Liu, Beibei Wang |
| title_fullStr | Wireless AI wireless sensing, positioning, IoT, and communications K. J. Ray Liu, Beibei Wang |
| title_full_unstemmed | Wireless AI wireless sensing, positioning, IoT, and communications K. J. Ray Liu, Beibei Wang |
| title_short | Wireless AI |
| title_sort | wireless ai wireless sensing positioning iot and communications |
| title_sub | wireless sensing, positioning, IoT, and communications |
| topic | Wireless communication systems Artificial intelligence Internet of things Indoor positioning systems (Wireless localization) Internet der Dinge (DE-588)7713781-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Drahtloses Sensorsystem (DE-588)4789222-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Datenfunknetz (DE-588)4216132-0 gnd |
| topic_facet | Wireless communication systems Artificial intelligence Internet of things Indoor positioning systems (Wireless localization) Internet der Dinge Künstliche Intelligenz Drahtloses Sensorsystem Maschinelles Lernen Datenfunknetz |
| url | https://doi.org/10.1017/9781108597234 |
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