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020 _a9789819995585
024 7 _a10.1007/978-981-99-9558-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK5101-5105.9
_b2024 EB
100 1 _aWang, Xiangrong.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 0 0 _aSparse Sensing and Sparsity Sensed in Multi-sensor Array Applications
_cby Xiangrong Wang, Xianghua Wang, Weitong Zhai, Kaiquan Cai
250 _a1st ed. 2024.
264 1 _aSingapore
_bSpringer International Publishing
_c2024
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aFoundation -- Array Processing Fundamentals -- Multi-Sensor Array Applications -- Sparse Sensing via Antenna Selection -- Sparse Sensing for Determininic Beamforming -- Sparse Sensing for Adaptive Beamforming -- Cognitive-Driven Optimization of Sparse Sensing -- Sparse Sensing for MIMO Array Radar -- Sparse Sensing for Target Detection -- Sparse Sensing for Dual-Functional Radar Communications -- Sparsity Sensed using Sparse Arrays -- Sparsity Sensed with Thinned Antenna Array -- Sparsity Sensed for Enhanced DOA Estimation.
520 _aThe 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.
942 _2lcc
_cLE
988 _aSpringer_Engineering_2024
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-9558-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
999 _c402052
_d402052