國立虎尾科技大學 |

Array Beamforming with Linear Difference Equations

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Array Beamforming with Linear Difference Equations/ by Jacob Benesty, Israel Cohen, Jingdong Chen.
作者:	Benesty, Jacob.
其他作者:	Chen, Jingdong.
面頁冊數:	VIII, 170 p. 95 illus., 94 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Coding and Information Theory. -
電子資源:	https://doi.org/10.1007/978-3-030-68273-6
ISBN:	9783030682736

Array Beamforming with Linear Difference Equations
Benesty, Jacob.

Array Beamforming with Linear Difference Equations[electronic resource] /by Jacob Benesty, Israel Cohen, Jingdong Chen. - 1st ed. 2021. - VIII, 170 p. 95 illus., 94 illus. in color.online resource. - Springer Topics in Signal Processing,201866-2617 ;. - Springer Topics in Signal Processing,12.

Introduction -- A Brief Overview of Conventional Beamforming -- Beamforming with First-Order Linear Difference Equations -- Beamforming with Second-Order Linear Difference -- Beamforming with Higher-Order Linear Difference Equations -- Application to Speech Enhancement -- A Spectral Graph Perspective -- Conclusion.

This book studies the link between differential beamforming and differential equations which in turn enables the study of fundamental theory and methods of beamforming from a different perspective, leading to new insights into the problem and new methods to solve the problem. The book first presents a brief overview of the problems and methods for beamforming and some performance measures popularly used either to evaluate beamformers or to derive optimal beamformers. Then, first-order, second-order, and general high-order linear difference equations are discussed, based on which the authors show how to formulate the beamforming problem and derive different beamforming methods, including fixed and adaptive ones. Furthermore, the authors show how to apply the theory of difference equations to the general problem of speech enhancement, and deduce a number of noise reduction filters, including the maximum SNR filter, the Wiener filter, the MVDR filter, etc. Also covered in the book are the difference equations and differential beamforming from the spectral graph perspective. Presents basic concepts, fundamental principles, and methods for beamforming from the perspective of linear difference equations; Provides formulation and methods of conventional beamforming, and first-order, second-order, and general high-order linear difference equations for beamforming; Includes the applications of linear difference equations to the problem of noise reduction; Explains beamforming based on difference equations with graphs.

ISBN: 9783030682736

Standard No.: 10.1007/978-3-030-68273-6doiSubjects--Topical Terms:

669784
Coding and Information Theory.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Array Beamforming with Linear Difference Equations
LDR:03335nam a22004335i 4500 001 1047136
003 DE-He213
005 20211125101247.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030682736 $9 978-3-030-68273-6
024 7 $a 10.1007/978-3-030-68273-6 $2 doi
035 $a 978-3-030-68273-6
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 Array Beamforming with Linear Difference Equations $h [electronic resource] / $c by Jacob Benesty, Israel Cohen, Jingdong Chen.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a VIII, 170 p. 95 illus., 94 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 Springer Topics in Signal Processing, $x 1866-2617 ; $v 20
505 0 $a Introduction -- A Brief Overview of Conventional Beamforming -- Beamforming with First-Order Linear Difference Equations -- Beamforming with Second-Order Linear Difference -- Beamforming with Higher-Order Linear Difference Equations -- Application to Speech Enhancement -- A Spectral Graph Perspective -- Conclusion.
520 $a This book studies the link between differential beamforming and differential equations which in turn enables the study of fundamental theory and methods of beamforming from a different perspective, leading to new insights into the problem and new methods to solve the problem. The book first presents a brief overview of the problems and methods for beamforming and some performance measures popularly used either to evaluate beamformers or to derive optimal beamformers. Then, first-order, second-order, and general high-order linear difference equations are discussed, based on which the authors show how to formulate the beamforming problem and derive different beamforming methods, including fixed and adaptive ones. Furthermore, the authors show how to apply the theory of difference equations to the general problem of speech enhancement, and deduce a number of noise reduction filters, including the maximum SNR filter, the Wiener filter, the MVDR filter, etc. Also covered in the book are the difference equations and differential beamforming from the spectral graph perspective. Presents basic concepts, fundamental principles, and methods for beamforming from the perspective of linear difference equations; Provides formulation and methods of conventional beamforming, and first-order, second-order, and general high-order linear difference equations for beamforming; Includes the applications of linear difference equations to the problem of noise reduction; Explains beamforming based on difference equations with graphs.
650 2 4 $a Coding and Information Theory. $3 669784
650 2 4 $a Communications Engineering, Networks. $3 669809
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 0 $a Information theory. $3 595305
650 0 $a Coding theory. $3 561460
650 0 $a Electrical engineering. $3 596380
650 0 $a Speech processing systems. $3 564428
650 0 $a Image processing. $3 557495
650 0 $a Signal processing. $3 561459
700 1 $a Chen, Jingdong. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 671388
700 1 $a Cohen, Israel. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1065838
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030682729
776 0 8 $i Printed edition: $z 9783030682743
776 0 8 $i Printed edition: $z 9783030682750
830 0 $a Springer Topics in Signal Processing, $x 1866-2609 ; $v 12 $3 1253497
856 4 0 $u https://doi.org/10.1007/978-3-030-68273-6
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)