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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: New. First edition Includes bibliographical references.
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In-8°, in brossura editoriale pesante con risvolti, pp. 57(3). Con illustrazioni fotografiche in nero. Opere di Franco Adami, Miguel Ausili, Michele Benedetto, Rinaldo, Bigi, Giancarlo Buratti, Pietro Cascella, Sergio Cervietti, Ettore Cha, Girolamo Ciulla, Daniel Couvreur, Emanuele Giannelli, Jacopo Giannoni, Gigi Guadagnucci, Han Jin-Sub, Luciano Massari, Franco Pegonzi, Massimo Pellegrinetti, Giò Pomodoro, Cynthia Sah, Sacha Sosno, Villano Trabella, Claudio Tomei, Marcello Tommasi, Jill Watson. Conervato il dépliant della mostra.
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Adaptive Detection of Multichannel Signals Exploiting Persymmetry
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Add to basketPaperback. Condition: Brand New. 314 pages. 9.18x6.12x9.21 inches. In Stock.
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Adaptive Detection of Multichannel Signals Exploiting Persymmetry
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Adaptive Detection of Multichannel Signals Exploiting Persymmetry
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Advances in Adaptive Radar Detection and Range Estimation
Language: English
Published by Springer Nature Singapore, 2022
ISBN 10: 9811664013 ISBN 13: 9789811664014
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides a comprehensive and systematic framework for the design of adaptive architectures, which take advantage of the available a priori information to enhance the detection performance. Moreover, this framework also provides guidelines to develop decision schemes capable of estimating the target position within the range bin. To this end, the readers are driven step-by-step towards those aspects that have to be accounted for at the design stage, starting from the exploitation of system and/or environment information up to the use of target energy leakage (energy spillover), which allows inferring on the target position within the range cell under test.In addition to design issues, this book presents an extensive number of illustrative examples based upon both simulated and real-recorded data. Moreover, the performance analysis is enriched by considerations about the trade-off between performances and computational requirements.Finally, thisbook could be a valuable resource for PhD students, researchers, professors, and, more generally, engineers working on statistical signal processing and its applications to radar systems.
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Advances in Adaptive Radar Detection and Range Estimation
Language: English
Published by Springer Nature Singapore, 2022
ISBN 10: 9811664013 ISBN 13: 9789811664014
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book provides a comprehensive and systematic framework for the design of adaptive architectures, which take advantage of the available a priori information to enhance the detection performance. Moreover, this framework also provides guidelines to develop decision schemes capable of estimating the target position within the range bin. To this end, the readers are driven step-by-step towards those aspects that have to be accounted for at the design stage, starting from the exploitation of system and/or environment information up to the use of target energy leakage (energy spillover), which allows inferring on the target position within the range cell under test.In addition to design issues, this book presents an extensive number of illustrative examples based upon both simulated and real-recorded data. Moreover, the performance analysis is enriched by considerations about the trade-off between performances and computational requirements.Finally, thisbook could be a valuable resource for PhD students, researchers, professors, and, more generally, engineers working on statistical signal processing and its applications to radar systems.
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Add to basketCondition: New. Jun Liu is an Associate Professor with the Department of Electronic Engineering and Information Science, University of Science and Technology of China. Dr. Liu is a member of the Sensor Array and Multichannel (SAM) Technical Committee, I.
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Advances in Adaptive Radar Detection and Range Estimation
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Advances in Adaptive Radar Detection and Range Estimation
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Advances in Adaptive Radar Detection and Range Estimation
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Add to basketPaperback. Condition: New. 1st ed. 2022.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Condition: New.
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Add to basketPaperback. Condition: Brand New. 229 pages. 9.25x6.10x0.63 inches. In Stock.
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Add to basketPaperback. Condition: New. 1st ed. 2022.
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Rilegato. Condition: come nuovo. Genova, 1991, Sagep. Cm. 29x22, pp. 117, ill. 74 a colori n.t., ril. con sovrac.
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Advanced Radar Detection Schemes Under Mismatched Signal Models
Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2009
ISBN 10: 3031014049 ISBN 13: 9783031014048
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and h.
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Advances in Adaptive Radar Detection and Range Estimation
Language: English
Published by Springer Nature Singapore, 2022
ISBN 10: 9811664013 ISBN 13: 9789811664014
US$ 162.87
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive and systematic framework about the design of adaptive architecturesPresents an extensive number of illustrative examples based upon both simulated and real-recorded dataValuable resources for readers working on stat.
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Advances in Adaptive Radar Detection and Range Estimation
Language: English
Published by Springer Nature Singapore, 2021
ISBN 10: 981166398X ISBN 13: 9789811663987
US$ 162.87
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive and systematic framework about the design of adaptive architecturesPresents an extensive number of illustrative examples based upon both simulated and real-recorded dataValuable resources for readers working on stat.
