An advanced low complexity, fast converging variable tap-length VT learning algorithm for stereophonic acoustic echo cancellation SAEC based on multiple sub- ...
Jul 8, 2014 · It is generally found that adaptive LMS algorithm with lower order has faster convergence. Moreover, the acoustic channel is time varying which ...
An advanced low complexity, fast converging variable tap-length (VT) learning algorithm for stereophonic acoustic echo cancellation (SAEC) based on multiple ...
Abstract: An advanced low complexity, fast converging variable tap-length (VT) learning algorithm for stereophonic acoustic echo cancellation (SAEC) based on ...
A new tap-length-optimization algorithm for adaptive filters used in stereophonic acoustic echo cancellation is proposed.
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We propose a low complexity and fast converging adaptive algorithm that exploits the MMax tap-selection. We achieve fast convergence with low complexity by ...
A novel variable tap-length learning algorithm for low complexity, fast converging stereophonic acoustic echo cancellation · Asutosh KarM. Chandra. Engineering.
In this paper, we propose a Variable Tap-length Non-Parametric Variable Step-Size NLMS (VT-NPVSS-NLMS) algorithm based on adaptive filtering for acoustic echo ...
This paper presents a solution to the problem of balancing convergence and steady-state performance of long length adaptive filters used for SAEC
"A novel variable tap-length learning algorithm for low complexity, fast converging stereophonic acoustic echo cancellation." International Journal of ...