By Karim Helwani
This e-book treats the subject of extending the adaptive filtering concept within the context of big multichannel platforms through considering a priori wisdom of the underlying process or sign. the place to begin is exploiting the sparseness in acoustic multichannel procedure with a view to clear up the non-uniqueness challenge with an effective set of rules for adaptive filtering that doesn't require any amendment of the loudspeaker signals.
The e-book discusses intimately the derivation of normal sparse representations of acoustic MIMO systems in sign or approach based remodel domains. Efficient adaptive filtering algorithms in the rework domain names are awarded and the relation among the sign- and the system-based sparse representations is emphasised. in addition, the publication offers a unique method of spatially preprocess the loudspeaker signs in a full-duplex communique process. the belief of the preprocessing is to avoid the echoes from being captured by means of the microphone array so that it will aid the AEC procedure. The preprocessing degree is given as an exemplarily application of a unique unified framework for the synthesis of sound figures. Finally, a multichannel process for the acoustic echo suppression is presented that can be utilized as a postprocessing level for elimination residual echoes. As first of its type, it extracts the near-end sign from the microphone sign with a distortionless constraint and with out requiring a double-talk detector.
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Extra info for Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations (T-Labs Series in Telecommunication Services)
Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations (T-Labs Series in Telecommunication Services) by Karim Helwani