Applied research of generalized morphological filter for MOA in processing on-line monitoring data

摘要

Based on the close and open transforms and their combination modes, the generalized morphological filter (GMF) with the best variable weights by constructing the inequality, considering root-mean-square error and signal to noise ratio and avoiding steepest descent method on the adaptive generalized morphological filter when iterative weight is close to the best one because of slow constrictions, is presented by this paper and applied in the on-line monitoring data processing in order to improve the precision of obtaining the real signal of MOA in the stress of complicated electromagnetic environment and ensure the accuracy of further analysis and diagnosis. The results show that the generalized morphological filter with the best variable weights can suppress isolated points, sentus, small bridges, positive and negative pulses, etc. And it is calculated and comes true simply by hardware.