The book focuses on sparse multi-sensor array systems and design approaches. Both principles and engineering practice have been addressed, with more weight placed on algorithm development. This is achieved by providing an in-depth study on sparse sensing for several major multi-sensor array applications such as beam-pattern synthesis, adaptive beamforming, target detection, arrival angle estimation, and dual-functional radar communications. Sparsity sensed in multi-sensor arrays refers to the sparse property of the spatial spectrum sensed. The exploitation of the sparsity in the sensed can significantly enhance the performance of signal processing systems. The comprehensive and systematic treatment of theory and practice in different array applications is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in array signal processing. The book benefits researchers, engineers, and graduate students in the fields of signal processing, electrical engineering, telecommunications, etc.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Xiangrong Wang received her Ph.D. degree in signal processing from University of New South Wales, Australia, in 2015. She was a post-doctoral research fellow in the Center for Advanced Communications, Villanova University, USA, from February to September in 2016.
Since then, she has been an associate professor at the School of Electronic and Information Engineering, Beihang University, China. She is a Senior Member of the IEEE, a committee member of IEEE SAM TC and an associate editor of IEEE Transactions on Radar Systems, IET Signal Processing and Digital Signal Processing. Her research interest includes array signal processing, parameter estimation, time-frequency analysis, and spectrum sharing. She has authored 1 textbook, 2 book chapters, and more than 70 papers.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications | Xiangrong Wang (u. a.) | Taschenbuch | xviii | Englisch | 2025 | Springer | EAN 9789819995608 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 132440233
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book focuses on sparse multi-sensor array systems and design approaches. Both principles and engineering practice have been addressed, with more weight placed on algorithm development. This is achieved by providing an in-depth study on sparse sensing for several major multi-sensor array applications such as beam-pattern synthesis, adaptive beamforming, target detection, arrival angle estimation, and dual-functional radar communications. Sparsity sensed in multi-sensor arrays refers to the sparse property of the spatial spectrum sensed. The exploitation of the sparsity in the sensed can significantly enhance the performance of signal processing systems. The comprehensive and systematic treatment of theory and practice in different array applications is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in array signal processing. The book benefits researchers, engineers, and graduate students in the fields of signal processing, electrical engineering, telecommunications, etc.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 400 pp. Englisch. N° de réf. du vendeur 9789819995608
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The book focuses on sparse multi-sensor array systems and design approaches. Both principles and engineering practice have been addressed, with more weight placed on algorithm development. This is achieved by providing an in-depth study on sparse sensing for several major multi-sensor array applications such as beam-pattern synthesis, adaptive beamforming, target detection, arrival angle estimation, and dual-functional radar communications. Sparsity sensed in multi-sensor arrays refers to the sparse property of the spatial spectrum sensed. The exploitation of the sparsity in the sensed can significantly enhance the performance of signal processing systems. The comprehensive and systematic treatment of theory and practice in different array applications is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in array signal processing. The book benefits researchers, engineers, and graduate students in the fields of signal processing, electrical engineering, telecommunications, etc. N° de réf. du vendeur 9789819995608
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