RT Journal Article
SR 00
A1 Imbiriba, Tales
A1 Bermudez, José Carlos Moreira
A1 Tourneret, Jean-Yves
A1 Bershad, Neil J.
T1 A New Decision-Theory-Based Framework for Echo Canceler Control
JF IEEE Transactions on Signal Processing
YR 2018
FD 2018
VO 66
IS 16
SP 4304
OP 4314
K1 Adaptive filters - Adaptive signal processing - Adaptive systems - Echo cancellation - Channel change - Double-talk - Classification - Multivariate gamma distribution
AB 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.
PB Institute of Electrical and Electronics Engineers - IEEE
SN 1053-587X
LK https://publications.ut-capitole.fr/id/eprint/28477/