Compressed sensing in radar signal processing:
Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejec...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2020
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UER01 Volltext |
| Zusammenfassung: | Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 04 Oct 2019) |
| Beschreibung: | 1 Online-Ressource (xxi, 357 Seiten) |
| ISBN: | 9781108552653 |
| DOI: | 10.1017/9781108552653 |
Internformat
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| 245 | 1 | 0 | |a Compressed sensing in radar signal processing |c edited by Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich |
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| 500 | |a Title from publisher's bibliographic system (viewed on 04 Oct 2019) | ||
| 520 | |a Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar | ||
| 650 | 4 | |a Radar | |
| 650 | 4 | |a Compressed sensing (Telecommunication) | |
| 700 | 1 | |a De Maio, Antonio |d 1974- |0 (DE-588)1197929134 |4 edt | |
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| 700 | 1 | |a Haimovich, Alexander M. |d 1954- |0 (DE-588)1197929460 |4 edt | |
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Datensatz im Suchindex
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3848/3 |
| dewey-search | 621.3848/3 |
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| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1017/9781108552653 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:38:33Z |
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| isbn | 9781108552653 |
| language | English |
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| physical | 1 Online-Ressource (xxi, 357 Seiten) |
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| publishDate | 2020 |
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| publisher | Cambridge University Press |
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| spelling | Compressed sensing in radar signal processing edited by Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich Cambridge Cambridge University Press 2020 1 Online-Ressource (xxi, 357 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 04 Oct 2019) Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar Radar Compressed sensing (Telecommunication) De Maio, Antonio 1974- (DE-588)1197929134 edt Eldar, Yonina C. 1973- (DE-588)1043849696 edt Haimovich, Alexander M. 1954- (DE-588)1197929460 edt Erscheint auch als Druck-Ausgabe 978-1-108-42829-3 https://doi.org/10.1017/9781108552653 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Compressed sensing in radar signal processing Radar Compressed sensing (Telecommunication) |
| title | Compressed sensing in radar signal processing |
| title_auth | Compressed sensing in radar signal processing |
| title_exact_search | Compressed sensing in radar signal processing |
| title_full | Compressed sensing in radar signal processing edited by Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich |
| title_fullStr | Compressed sensing in radar signal processing edited by Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich |
| title_full_unstemmed | Compressed sensing in radar signal processing edited by Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich |
| title_short | Compressed sensing in radar signal processing |
| title_sort | compressed sensing in radar signal processing |
| topic | Radar Compressed sensing (Telecommunication) |
| topic_facet | Radar Compressed sensing (Telecommunication) |
| url | https://doi.org/10.1017/9781108552653 |
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