Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representa

Description: Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations by Karim Helwani 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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 the acoustic echo suppression is presented that can be used as a postprocessing stage for removing residual echoes. As first of its kind, it extracts the near-end signal from the microphone signal with a distortionless constraint and without requiring a double-talk detector. Back Cover 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 the acoustic echo suppression is presented that can be used as a postprocessing stage for removing residual echoes. As first of its kind, it extracts the near-end signal from the microphone signal with a distortionless constraint and without requiring a double-talk detector. Table of Contents Introduction.- Fundamentals of Adaptive Filter Theory.- Spatio-Temporal Regularized Recursive Least Squares Algorithm.- Sparse Representation of Multichannel Acoustic Systems.- Unique System Identification from Projections.- Geometrical Constraints.- Acoustic Echo Suppression.- Conclusion. Feature 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 approach for highly correlated loudspeaker signals of multichannel reproduction systems Details ISBN3319089536 Author Karim Helwani Year 2014 ISBN-10 3319089536 ISBN-13 9783319089539 Format Hardcover Short Title ADAPTIVE IDENTIFICATION OF ACO Language English Media Book Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Edition 2015th Pages 113 DOI 10.1007/978-3-319-08954-6 Publication Date 2014-08-11 UK Release Date 2014-08-11 Illustrations 10 Illustrations, color; 29 Illustrations, black and white; XIV, 113 p. 39 illus., 10 illus. in color. Publisher Springer International Publishing AG Edition Description 2015 ed. Series T-Labs Series in Telecommunication Services Alternative 9783319362878 DEWEY 621.3822 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96283593;

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