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

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

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.