| 期刊全稱 | Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations |
| 影響因子2023 | Karim Helwani |
| 視頻video | http://file.papertrans.cn/145/144663/144663.mp4 |
| 發(fā)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 |
| 學(xué)科分類 | T-Labs Series in Telecommunication Services |
| 圖書封面 |  |
| 影響因子 | .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 |
|Archiver|手機版|小黑屋|
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