國立虎尾科技大學 |

Fundamentals of Differential Beamforming

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fundamentals of Differential Beamforming/ by Jacob Benesty, Jingdong Chen, Chao Pan.
Author:	Benesty, Jacob.
other author:	Chen, Jingdong.
Description:	VIII, 122 p. 79 illus., 77 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Signal processing. -
Online resource:	https://doi.org/10.1007/978-981-10-1046-0
ISBN:	9789811010460

Fundamentals of Differential Beamforming
Benesty, Jacob.

Fundamentals of Differential Beamforming[electronic resource] /by Jacob Benesty, Jingdong Chen, Chao Pan. - 1st ed. 2016. - VIII, 122 p. 79 illus., 77 illus. in color.online resource. - SpringerBriefs in Electrical and Computer Engineering,2191-8112. - SpringerBriefs in Electrical and Computer Engineering,.

Introduction -- Problem Formulation -- Some Background -- Performance Measures Revisited -- Conventional Optimization -- Beampattern Design -- Joint Optimization.

This 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.

ISBN: 9789811010460

Standard No.: 10.1007/978-981-10-1046-0doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Fundamentals of Differential Beamforming
LDR:03460nam a22004215i 4500 001 978415
003 DE-He213
005 20200701143722.0
007 cr nn 008mamaa
008 201211s2016 si | s |||| 0|eng d
020 $a 9789811010460 $9 978-981-10-1046-0
024 7 $a 10.1007/978-981-10-1046-0 $2 doi
035 $a 978-981-10-1046-0
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Benesty, Jacob. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 671389
245 1 0 $a Fundamentals of Differential Beamforming $h [electronic resource] / $c by Jacob Benesty, Jingdong Chen, Chao Pan.
250 $a 1st ed. 2016.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2016.
300 $a VIII, 122 p. 79 illus., 77 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Electrical and Computer Engineering, $x 2191-8112
505 0 $a Introduction -- Problem Formulation -- Some Background -- Performance Measures Revisited -- Conventional Optimization -- Beampattern Design -- Joint Optimization.
520 $a This 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.
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 1 4 $a Signal, Image and Speech Processing. $3 670837
700 1 $a Chen, Jingdong. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 671388
700 1 $a Pan, Chao. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1107928
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811010453
776 0 8 $i Printed edition: $z 9789811010477
830 0 $a SpringerBriefs in Electrical and Computer Engineering, $x 2191-8112 $3 1253713
856 4 0 $u https://doi.org/10.1007/978-981-10-1046-0
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)