De-noising of sampled power system data based on morphological filtering
WU Jiqunb · Industrial Instrumentation & Automation · 2012
As the use of same structure element,the traditional morphological filuer has some shortcoming,such as statistic bias,filtering is not ideal.A generalized morphological filter cascaded by different structure element was proposed to reduce noise of sampled power system signal.De-noising effect of the generalized morphological filter on impulse noise and random noise were investigated.By comparing the effects of the generalized morphological filter and the traditional morphological filter on simulated signal,it was demonstrated that the generalized morphological filter could reduce noise more effectively than traditional morphological filter.Generalized morphological filter algorithm includes addition,subtraction,maximum and minimum operation,and does not involve multiplication and division.Therefore,it has high calculation speed and better application value.