Title :
Approximate performance analysis of edge preserving filters
Author :
Himayat, Nageen ; Kassam, Saleem A.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
fDate :
9/1/1993 12:00:00 AM
Abstract :
Approximate, asymptotic methods are used to analyze the edge response of a filter. This technique is tractable for the case of filters based on estimators that are expressible as functionals of the empirical distribution of the sample. As an illustration of this approach, the method is used to analyze the modified trimmed mean and a few examples of the class of L-filters. The resulting performance predictions are compared with simulation results. Fairly accurate predictions are obtained for realistic sample sizes
Keywords :
filtering and prediction theory; signal processing; statistical analysis; L-filters; approximate performance analysis; asymptotic methods; edge preserving filters; modified trimmed mean; order statistics; signal restoration; signal smoothing; Additive white noise; Analytical models; Filtering; Filters; Force measurement; Performance analysis; Robustness; Signal restoration; Smoothing methods; Statistical distributions;
Journal_Title :
Signal Processing, IEEE Transactions on
