Paper details

Title: A sparseness-controlled proportionate algorithm for acoustic echo cancellation

Abstract: Sparseness variation in acoustic impulse response arises due to changes in temperature, pressure, acoustic source movements and changes in the acoustic environment. Therefore, algorithms employed in acoustic echo cancellation have to perform well for both sparse and dispersive unknown systems. The well-known algorithms, normalized least mean square (NLMS) or proportionate NLMS (PNLMS), are limited to perform well either in dispersive or sparse cases, respectively. The proposed sparseness-controlled PNLMS (SC-PNLMS) algorithm inherits the beneficial properties of both PNLMS and NLMS by employing the sparseness measure into the PNLMS algorithm. Simulation results presented show improved performance over the PNLMS algorithm even for dispersive impulse responses.

Status: Published in Proc. 16th European Signal Process. Conf. (EUSIPCO '08), Lausanne, Switzerland, Aug. 2008.

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