Noise Control of Multi-Channel Weak Current Signal Based on Empirical Wavelet Transform
Multi-channel weak current signals are interfered with many noise factors,resulting in an increase in relative error be-tween the output weak current signal and original signal,and its control effect becomes poor.Therefore,a multi-channel weak cur-rent signal noise control method based on empirical wavelet transform is proposed.By collecting the multi-channel weak current sig-nals,the empirical wavelet transform technology is used to decompose the collected weak current signals,determine whether there is noise in the current signal,and determine the type of noise.Based on the amount and type of noise in the current signal,a weak cur-rent signal noise controller is designed to generate control instructions,and control the weak current signal noise in different channels.In two experimental environments with different noise intensities,the multi-channel weak current signal of this method has a high sig-nal-to-noise ratio,lower relative error between the output signal and original signal,and shorter control task completion time,which proves that the multi-channel weak current signal noise control effect of the method is better,it can be widely applied in the field of current signal noise control.
empirical wavelet transformmulti-channelweak current signalnoise controlsignal decompositionnoise levelnoise type
万方数据
维普
