Download E-books Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations (T-Labs Series in Telecommunication Services) PDF
By Karim Helwani
This publication treats the subject of extending the adaptive filtering idea within the context of huge multichannel platforms through considering a priori wisdom of the underlying method or sign. the place to begin is exploiting the sparseness in acoustic multichannel process so that it will resolve the non-uniqueness challenge with a good set of rules for adaptive filtering that doesn't require any amendment of the loudspeaker signals.
The publication discusses intimately the derivation of common sparse representations of acoustic MIMO systems in sign or approach based rework domains. Efficient adaptive filtering algorithms in the remodel domain names are offered and the relation among the sign- and the system-based sparse representations is emphasised. in addition, the e-book offers a singular method of spatially preprocess the loudspeaker signs in a full-duplex conversation procedure. the belief of the preprocessing is to avoid the echoes from being captured by means of the microphone array so as to 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 method for the acoustic echo suppression is presented that can be utilized as a postprocessing degree for elimination residual echoes. As first of its variety, 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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