Department of University Philadelphia, L-smoothers and M-smoothers are introduced as generalizations of the median filter for nonlinear smoothing of noisy data, and their properties are derived. In addition, a double-window smoothing algorithm which is shown to be a data-dependent modification of L-and M-smoothers is proposed for filtering noisy signals with sharp edges. Simulation results are given to demonstrate the performance characteristics of these smoothing algorithms.