Adaptive iterative reweighted least squares design of L/sub p/ FIR filters

This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an L/sub p/ error criteria. The algorithm is an extension of Burrus' (1992) iterative reweighted least squares (IRLS) method for approximating L/sub p/ filters. Such algorithm will converge for most significant cases in a few iterations. In some cases however, the transition bandwidth is such that the number of iterations increases significantly. The proposed algorithm controls such problem and drastically reduces the number of iterations required.