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Titlebook: Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations; Karim Helwani Book 2015 Springer International Publ

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发表于 2025-3-21 18:23:16 | 显示全部楼层 |阅读模式
期刊全称Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations
影响因子2023Karim Helwani
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发行地址Offers adaptive filtering theory in the context of massive multichannel systems.Shows that sparse representations can be derived based on prior knowledge about the system or the signal.Includes an app
学科分类T-Labs Series in Telecommunication Services
图书封面Titlebook: Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations;  Karim Helwani Book 2015 Springer International Publ
影响因子.This book treats the topic of extending the adaptive filtering theory in the context of massive multichannel systems by taking into account a priori knowledge of the underlying system or signal. The starting point is exploiting the sparseness in acoustic multichannel system in order to solve the non-uniqueness problem with an efficient algorithm for adaptive filtering that does not require any modification of the loudspeaker signals..The book discusses in detail the derivation of general sparse representations of acoustic MIMO systems in signal or system dependent transform domains. Efficient adaptive filtering algorithms in the transform domains are presented and the relation between the signal- and the system-based sparse representations is emphasized. Furthermore, the book presents a novel approach to spatially preprocess the loudspeaker signals in a full-duplex communication system. The idea of the preprocessing is to prevent the echoes from being captured by the microphone array in order to support the AEC system. The preprocessing stage is given as an exemplarily application of a novel unified framework for the synthesis of sound figures. Finally, a multichannel system for t
Pindex Book 2015
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发表于 2025-3-21 20:51:33 | 显示全部楼层
,Ballübungen mit zwei und mehr Bällen,ypically done by means of regularization. This chapter gives a systematic consideration for regularization strategies exploiting sparseness for the identification of acoustic room impulse responses specifically for multichannel systems. The main findings of this chapter have been presented in [.]. T
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978-3-319-36287-8Springer International Publishing Switzerland 2015
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https://doi.org/10.1007/b138135ne arrays, was exploited aiming at suppressing the short-range acoustic feedback from the loudspeakers to the array output, resulting in lower acoustic echo. Later in this chapter, it will be shown, how acoustic multichannel reproduction systems can make a significant contribution to reduce the acoustic echo.
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