Abstract
We presents a squared sine functioned adaptive (SSA) algorithm for
acoustic-echo-cancellation (AEC) applications in-presence-of impulsive
noise. In the development of the SSA algorithm, a novel cost function is
constructed by exerting a sliding window type squared sine function on
the estimation error vector, which provides robustness in the
impulsive-noise environments and speed-ups convergence when the input is
colored signals. Theoretical models for predicting the
mean-weightbehavior, transient excess-mean-square-error (EMSE) behavior,
and tracking behavior are presented. Moreover, the optimal step size and
minimum EMSE of the tracking performance are provided. The computation
complexity of SSA algorithm has also been investigated. Numerical
experiments demonstrate that the theoretical results match well with
simulation results and show the superiority of the proposed SSA
algorithm against known algorithms in AEC applications