Fast converging stochastic gradient algorithm

A new scheme for the adjustment of adaptive equaliser tap gains is developed. In the scheme the short-term averages of the stochastic gradients are used to reduce the self-noise arising from the application of noisy gradient estimates. The new algorithm permits the application of larger step sizes, and therefore results in faster convergence. Some theoretical results are presented and compared with results obtained by computer simulation.