Implementing Possibilistic Clustering Approach in Nonlinear Signal Processing Smoothing
Cat Lab · 1999
In this paper, a filter based on Possibilistic clustering (Possibilistic Clustering Filter, i.. e. PCF) has been proposed. In moving window, we can get the good samples of data set. Then this filter clusters input signal's data with PCM (Possibilistic C-mean) algorithm, and uses center of cluster as output of filter. Through simulation result, we can see that filter not only cancels Gaussian noise, but also presents nonlinear feature of input signal.