Adaptive combination of normalised filters for robust system identification

The performance of square norm adaptive filters degrades in the presence of impulsive noise. The sign algorithm overcomes this problem, at the cost of a slower convergence. Presented is an adaptive combination of two independent filters, using the absolute and quadratic error criteria, respectively, so that the resulting scheme achieves a fast convergence and remains robust to impulsive noise.