A Fast Converging Algorithm for Acoustic Echo Cancellation in Time-Varying Channels
In this paper, we propose an acoustic echo cancellation method called MPNLMS++ which can adapt to time varying channels with fast convergence. The MPNLMS++ can converge much faster than conventional algorithms when the channel changes from dispersive to sparse, and at least as fast as other fast algorithms in other situations. The effectiveness of MPNLMS++ is verified in the simulation.