A Hybrid Filter Method Based on Wavelet Packet and Its Application

Objective In recent years,although data provide more information for monitoring objectives with the gradual474 increase of the sampling frequency,nevertheless preprocessing creates higher requirements.In order to solvethese problems,this paper proposes an improved hybrid filter method based on wavelet packet analysis thatcombines a high-frequency coefficients weighted median filter and the overall weighted mean filter used to pre-process the data.Through theoretical analysis and practical application,this method is shown to be simple,fast and has a maximum de-noising effect of random noise,non-random noise,gross error and other uselessinformation,while highlighting the trend,periodic and other useful information for monitoring objectives.This improved method has better de-noising effect than traditional methods and is particularly suitable forhigh-rate deformation monitoring data and a practical method for data processing.