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A New Decision-Theory-Based Framework for Echo Canceler Control

Imbiriba, Tales and Bermudez, José Carlos Moreira and Tourneret, Jean-Yves and Bershad, Neil J. A New Decision-Theory-Based Framework for Echo Canceler Control. (2018) IEEE Transactions on Signal Processing, 66 (16). 4304-4314. ISSN 1053-587X

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Official URL: https://doi.org/10.1109/TSP.2018.2849748


A control logic has a central role in many echo can- cellation systems for optimizing the performance of adaptive fil- ters, while estimating the echo path. For reliable control, accurate double-talk and channel change detectors are usually incorporated to the echo canceler. This work expands the usual detection strat- egy to define a classification problem characterizing four possible states of the echo canceler operation. The new formulation allows the use of decision theory to continuously control the transitions among the different modes of operation. The classification rule re- duces to a low-cost statistics, for which it is possible to determine the probability of error under all hypotheses, allowing the clas- sification performance to be accessed analytically. Monte Carlo simulations using synthetic and real data illustrate the reliability of the proposed method.

Item Type:Article
HAL Id:hal-01945501
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > University of California - UCIrvine (USA)
Other partners > Universidade Federal de Santa Catarina - UFSC (BRAZIL)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:05 Dec 2018 11:29

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