Title :
Matched median filtering
Author :
Astola, Jaakko ; Neuvo, Yrjö
Author_Institution :
Tampere Univ. of Technol., Finland
fDate :
4/1/1992 12:00:00 AM
Abstract :
A class of median type filters, called matched median filters, is defined for the estimation of the information which is carried by the amplitude of a noisy signal. These filters form the natural counterpart of linear matched filters in the class of median type filters and are maximum likelihood estimators if the noise is biexponential. Matched median filters are defined both for baseband and passband systems. Their statistical properties are analyzed and simulation results presented
Keywords :
filtering and prediction theory; matched filters; noise; parameter estimation; statistical analysis; baseband systems; matched median filters; maximum likelihood estimators; noisy signal amplitude information; passband systems; statistical properties; Amplitude estimation; Analytical models; Baseband; Information filtering; Information filters; Matched filters; Maximum likelihood estimation; Noise level; Nonlinear filters; Passband;
Journal_Title :
Communications, IEEE Transactions on