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001 978-3-030-15600-8
003 DE-He213
005 20220801214754.0
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008 191027s2019 sz | s |||| 0|eng d
020 _a9783030156008
_9978-3-030-15600-8
024 7 _a10.1007/978-3-030-15600-8
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621.382
_223
100 1 _aBenesty, Jacob.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_940358
245 1 0 _aArray Processing
_h[electronic resource] :
_bKronecker Product Beamforming /
_cby Jacob Benesty, Israel Cohen, Jingdong Chen.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXI, 189 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Topics in Signal Processing,
_x1866-2617 ;
_v18
505 0 _aIntroduction -- Problem Formulation with Uniform Linear Arrays -- Beamforming with Uniform Linear Arrays -- Generalization with Uniform Linear Arrays -- Approach with Nonuniform Linear Arrays -- Approach with Rectangular Arrays -- Spatiotemporal Signal Enhancement.
520 _aThe focus of this book is on array processing and beamforming with Kronecker products. It considers a large family of sensor arrays that allow the steering vector to be decomposed as a Kronecker product of two steering vectors of smaller virtual arrays. Instead of directly designing a global beamformer for the original array, once the steering vector has been decomposed, smaller virtual beamformers are designed and separately optimized for each virtual array. This means the matrices that need to be inverted are smaller, which increases the robustness of the beamformers, and reduces the size of the observations. The book explains how to perform beamforming with Kronecker product filters using an unconventional approach. It shows how the Kronecker product formulation can be used to derive fixed, adaptive, and differential beamformers with remarkable flexibility. Furthermore, it demonstrates how fixed and adaptive beamformers can be intelligently combined, optimally exploiting the advantages of both. The problem of spatiotemporal signal enhancement is also addressed, and readers will learn how to perform Kronecker product filtering in this context.
650 0 _aSignal processing.
_94052
650 1 4 _aSignal, Speech and Image Processing .
_931566
700 1 _aCohen, Israel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_940359
700 1 _aChen, Jingdong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_940360
710 2 _aSpringerLink (Online service)
_940361
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030155995
776 0 8 _iPrinted edition:
_z9783030156015
776 0 8 _iPrinted edition:
_z9783030156022
830 0 _aSpringer Topics in Signal Processing,
_x1866-2617 ;
_v18
_940362
856 4 0 _uhttps://doi.org/10.1007/978-3-030-15600-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76733
_d76733