2000
DOI: 10.1109/89.876299
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Double-talk robust fast converging algorithms for network echo cancellation

Abstract: Abstract-There is a need for echo cancelers for echo paths with long impulse responses ( 64 ms). This in turn creates a need for more rapidly converging algorithms in order to meet the specifications for network echo cancelers. Faster convergence, however, in general implies a higher sensitivity to near-end disturbances, especially "double-talk." Recently, a fast converging algorithm has been proposed called proportionate normalized least mean squares (PNLMS) algorithm. This algorithm exploits the sparseness o… Show more

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Cited by 134 publications
(21 citation statements)
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“…The approach is highly efficient, yields a high suppression performance, and minimal signal distortion. A possible extension to the approach is, e.g., the use of robust statistics [30,34,35]. …”
Section: Semi-blind Multidelay Double-talk Detectionmentioning
confidence: 99%
“…The approach is highly efficient, yields a high suppression performance, and minimal signal distortion. A possible extension to the approach is, e.g., the use of robust statistics [30,34,35]. …”
Section: Semi-blind Multidelay Double-talk Detectionmentioning
confidence: 99%
“…Several notable methods have been proposed for this purpose. In [3] , [5], [6], and [7] an extra component is employed in the AEC to help avoid filter divergence during DT. This component could be in the form of a DT detector or a step-size controller.…”
Section: Aec and The Dt Problemmentioning
confidence: 99%
“…DT detectors have now become an integral part of almost all commercially available 978-1-4673-6997-8/15/$31.00 ©2015 IEEE 112 1 echo cancellers. A review of classical DT detection meth ods can be found in [3] . Certain methods handle the DT by restricting the communication to only one way; i. e. , half duplex.…”
Section: Introductionmentioning
confidence: 99%
“…This approach has been studied and proven very successful in the network echo canceler case [129], where the combination of outlier resistant adaptive algorithms and a Geigel DTD were studied. For the acoustic case, one could use any appropriate DTD and combine it with a robust adaptive algorithm.…”
Section: Dtd Combinations With Robust Statisticsmentioning
confidence: 99%