000 | 03451nam a22005415i 4500 | ||
---|---|---|---|
001 | 978-3-030-15600-8 | ||
003 | DE-He213 | ||
005 | 20220801214754.0 | ||
007 | cr nn 008mamaa | ||
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 |