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Array beamforming with linear differ...

Benesty, Jacob.

Array beamforming with linear difference equations

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Array beamforming with linear difference equationsby Jacob Benesty, Israel Cohen, Jingdong Chen.
作者:	Benesty, Jacob.
其他作者:	Cohen, Israel.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	viii, 170 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	BeamformingMathematics.
電子資源:	https://doi.org/10.1007/978-3-030-68273-6
ISBN:	9783030682736$q(electronic bk.)

Array beamforming with linear difference equations
Benesty, Jacob.

Array beamforming with linear difference equations[electronic resource] /by Jacob Benesty, Israel Cohen, Jingdong Chen. - Cham :Springer International Publishing :2021. - viii, 170 p. :ill., digital ;24 cm. - Springer topics in signal processing,v.201866-2609 ;. - Springer topics in signal processing ;v.10..

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$q(electronic bk.)

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

895043
Beamforming
--Mathematics.

LC Class. No.: TK7871.67.A33

Dewey Class. No.: 621.3824

Array beamforming with linear difference equations
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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.
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