Processing of sampled power system data basedon generalized morphological filtering
Huijin Liu · Dianli zidonghua shebei · 2006
MM(Mathematical Morphology) is a subject concerning with the shape of an object based on set theory and integral geometry,which is a nonlinear approach,studying the waveform characteristics of signals in the complete time domain.A generalized morphological filtering method using different sampling frequencies is proposed for sampled power system signal.The higher frequency is used to filter white noise and impulse noise,while the lower frequency to filter the DC offset.The horizontal linear structure element is selected.The use of low frequency for DC offset filtering shortens structure element and reduces calculation time.Simulations show that it filters white noise,impulse noise and DC offset effectively with the SNR(Signal-to-Noise-Ratio) increased and the MSE(Mean Square Error) decreased.