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Titlebook: Array Beamforming with Linear Difference Equations; Jacob Benesty,Israel Cohen,Jingdong Chen Book 2021 The Editor(s) (if applicable) and T

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发表于 2025-3-21 16:55:31 | 显示全部楼层 |阅读模式
期刊全称Array Beamforming with Linear Difference Equations
影响因子2023Jacob Benesty,Israel Cohen,Jingdong Chen
视频video
发行地址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
学科分类Springer Topics in Signal Processing
图书封面Titlebook: Array Beamforming with Linear Difference Equations;  Jacob Benesty,Israel Cohen,Jingdong Chen Book 2021 The Editor(s) (if applicable) and T
影响因子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 thedifference equations and differential beamforming from the spectral graph perspective..Presents basic concepts, fundamental principles, and methods for beamforming from the perspective of linear diffe
Pindex Book 2021
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1866-2609 ok are thedifference equations and differential beamforming from the spectral graph perspective..Presents basic concepts, fundamental principles, and methods for beamforming from the perspective of linear diffe978-3-030-68275-0978-3-030-68273-6Series ISSN 1866-2609 Series E-ISSN 1866-2617
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Beamforming with First-Order Linear Difference Equations, explicit way. Although, there are different manners to derive differential beamformers, none of the developed and available approaches do it in an elegant and systematic way. This is what we attempt to do in this chapter in the simplest case, which is based on first-order linear difference equations.
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Application to Speech Enhancement,rmance measures. Finally, we develop some examples of optimal speech enhancement filters. We only discuss the case with first-order linear difference equations; generalization to higher orders is straightforward.
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Beamforming with First-Order Linear Difference Equations,g, especially when sensors are close to each others. Conventional beamforming does not include this important information in its formulation and in an explicit way. Although, there are different manners to derive differential beamformers, none of the developed and available approaches do it in an el
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