Adaptive Identification of Acoustic Multichannel Systems by Karim Helwani

By Karim Helwani

This e-book treats the subject of extending the adaptive filtering concept within the context of big multichannel structures through considering a priori wisdom of the underlying process or sign. the place to begin is exploiting the sparseness in acoustic multichannel approach to be able to remedy the non-uniqueness challenge with an effective set of rules for adaptive filtering that doesn't require any amendment of the loudspeaker signals.
The ebook discusses intimately the derivation of basic sparse representations of acoustic MIMO systems in sign or process established rework domains. Efficient adaptive filtering algorithms in the remodel domain names are awarded and the relation among the sign- and the system-based sparse representations is emphasised. additionally, the e-book provides a singular method of spatially preprocess the loudspeaker indications in a full-duplex communique procedure. the belief of the preprocessing is to avoid the echoes from being captured via the microphone array with a view to aid the AEC approach. The preprocessing degree is given as an exemplarily application of a singular unified framework for the synthesis of sound figures. Finally, a multichannel approach for the acoustic echo suppression is presented that can be utilized as a postprocessing degree for removal residual echoes. As first of its variety, it extracts the near-end sign from the microphone sign with a distortionless constraint and with no requiring a double-talk detector.

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