In this paper, we propose a normalized least mean squares algorithm with variable step size with low computational cost, and only three parameters that are simple to choose.

We show some analytical expressions for the steady-state performance and the simulations show a competitive performance in comparison with other solutions.

The PDF file can be obtained in this page.