Waveform design for active sensing systems: a computational approach
With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. The three parts conveniently correspond to the three categories of desirable waveform properties: good aperiod...
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Weitere beteiligte Personen: | , |
Format: | E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge
Cambridge University Press
2012
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Links: | https://doi.org/10.1017/CBO9781139095174 |
Zusammenfassung: | With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. The three parts conveniently correspond to the three categories of desirable waveform properties: good aperiodic correlations, good periodic correlations and beampattern matching. The book features various application examples of using the newly designed waveforms, including radar imaging, channel estimation for communications, an ultrasound system for breast cancer treatment and covert underwater communications. In addition to numerical results, the authors present theoretical analyses describing lower bounds or limitations of performance. Focusing on formulating practical problems mathematically and solving the mathematical problems using efficient and effective optimization techniques, the text pays particular attention to developing easy-to-use computational approaches. Most algorithms are accompanied by a table clearly detailing iteration steps and corresponding MATLAB codes are available on the companion website. |
Umfang: | 1 Online-Ressource (ix, 312 Seiten) |
ISBN: | 9781139095174 |
Internformat
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100 | 1 | |a He, Hao |d 1976- | |
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520 | |a With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. The three parts conveniently correspond to the three categories of desirable waveform properties: good aperiodic correlations, good periodic correlations and beampattern matching. The book features various application examples of using the newly designed waveforms, including radar imaging, channel estimation for communications, an ultrasound system for breast cancer treatment and covert underwater communications. In addition to numerical results, the authors present theoretical analyses describing lower bounds or limitations of performance. Focusing on formulating practical problems mathematically and solving the mathematical problems using efficient and effective optimization techniques, the text pays particular attention to developing easy-to-use computational approaches. Most algorithms are accompanied by a table clearly detailing iteration steps and corresponding MATLAB codes are available on the companion website. | ||
700 | 1 | |a Li, Jian | |
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Datensatz im Suchindex
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id | ZDB-20-CTM-CR9781139095174 |
illustrated | Not Illustrated |
indexdate | 2025-03-19T15:54:05Z |
institution | BVB |
isbn | 9781139095174 |
language | English |
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spelling | He, Hao 1976- Waveform design for active sensing systems a computational approach Hao He, Jian Li, Petre Stoica Cambridge Cambridge University Press 2012 1 Online-Ressource (ix, 312 Seiten) txt c cr With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. The three parts conveniently correspond to the three categories of desirable waveform properties: good aperiodic correlations, good periodic correlations and beampattern matching. The book features various application examples of using the newly designed waveforms, including radar imaging, channel estimation for communications, an ultrasound system for breast cancer treatment and covert underwater communications. In addition to numerical results, the authors present theoretical analyses describing lower bounds or limitations of performance. Focusing on formulating practical problems mathematically and solving the mathematical problems using efficient and effective optimization techniques, the text pays particular attention to developing easy-to-use computational approaches. Most algorithms are accompanied by a table clearly detailing iteration steps and corresponding MATLAB codes are available on the companion website. Li, Jian Stoica, Petre Erscheint auch als Druck-Ausgabe 9781107019690 |
spellingShingle | He, Hao 1976- Waveform design for active sensing systems a computational approach |
title | Waveform design for active sensing systems a computational approach |
title_auth | Waveform design for active sensing systems a computational approach |
title_exact_search | Waveform design for active sensing systems a computational approach |
title_full | Waveform design for active sensing systems a computational approach Hao He, Jian Li, Petre Stoica |
title_fullStr | Waveform design for active sensing systems a computational approach Hao He, Jian Li, Petre Stoica |
title_full_unstemmed | Waveform design for active sensing systems a computational approach Hao He, Jian Li, Petre Stoica |
title_short | Waveform design for active sensing systems |
title_sort | waveform design for active sensing systems a computational approach |
title_sub | a computational approach |
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