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000755010 020__ $$a9789811010460$$q(electronic book)
000755010 020__ $$a9811010463$$q(electronic book)
000755010 020__ $$z9789811010453
000755010 0247_ $$a10.1007/978-981-10-1046-0$$2doi
000755010 035__ $$aSP(OCoLC)ocn948286090
000755010 035__ $$aSP(OCoLC)948286090
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000755010 049__ $$aISEA
000755010 050_4 $$aTK7871.67.A33
000755010 08204 $$a621.382/2$$223
000755010 1001_ $$aBenesty, Jacob,$$eauthor.
000755010 24510 $$aFundamentals of differential beamforming$$h[electronic resource] /$$cJacob Benesty, Jingdong Chen, Chao Pan.
000755010 264_1 $$aSingapore :$$bSpringer,$$c2016.
000755010 300__ $$a1 online resource (viii, 122 pages) :$$billustrations.
000755010 336__ $$atext$$btxt$$2rdacontent
000755010 337__ $$acomputer$$bc$$2rdamedia
000755010 338__ $$aonline resource$$bcr$$2rdacarrier
000755010 4901_ $$aSpringerBriefs in electrical and computer engineering,$$x2191-8112
000755010 504__ $$aIncludes bibliographical references and index.
000755010 5050_ $$aIntroduction -- Problem Formulation -- Some Background -- Performance Measures Revisited -- Conventional Optimization -- Beampattern Design -- Joint Optimization.
000755010 506__ $$aAccess limited to authorized users.
000755010 520__ $$aThis book provides a systematic study of the fundamental theory and methods of beamforming with differential microphone arrays (DMAs), or differential beamforming in short. It begins with a brief overview of differential beamforming and some popularly used DMA beampatterns such as the dipole, cardioid, hypercardioid, and supercardioid, before providing essential background knowledge on orthogonal functions and orthogonal polynomials, which form the basis of differential beamforming. From a physical perspective, a DMA of a given order is defined as an array that measures the differential acoustic pressure field of that order; such an array has a beampattern in the form of a polynomial whose degree is equal to the DMA order. Therefore, the fundamental and core problem of differential beamforming boils down to the design of beampatterns with orthogonal polynomials. But certain constraints also have to be considered so that the resulting beamformer does not seriously amplify the sensors' self noise and the mismatches among sensors. Accordingly, the book subsequently revisits several performance criteria, which can be used to evaluate the performance of the derived differential beamformers. Next, differential beamforming is placed in a framework of optimization and linear system solving, and it is shown how different beampatterns can be designed with the help of this optimization framework. The book then presents several approaches to the design of differential beamformers with the maximum DMA order, with the control of the white noise gain, and with the control of both the frequency invariance of the beampattern and the white noise gain. Lastly, it elucidates a joint optimization method that can be used to derive differential beamformers that not only deliver nearly frequency-invariant beampatterns, but are also robust to sensors' self noise.
000755010 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 5, 2016).
000755010 650_0 $$aBeamforming.
000755010 650_0 $$aMicrophone arrays.
000755010 7001_ $$aChen, J.$$q(Jingdong),$$eauthor.
000755010 7001_ $$aPan, Chao,$$eauthor.
000755010 77608 $$iPrint version:$$z9789811010453
000755010 830_0 $$aSpringerBriefs in electrical and computer engineering.
000755010 852__ $$bebk
000755010 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-1046-0$$zOnline Access$$91397441.1
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000755010 980__ $$aEBOOK
000755010 980__ $$aBIB
000755010 982__ $$aEbook
000755010 983__ $$aOnline
000755010 994__ $$a92$$bISE