Simulation Experiment Research on Feature Extraction of Disturbance Signals Based on Wavelet Transform
The article studied the feature extraction method of disturbance signals based on wavelet transform and designed a series of simulation experiments.The experimental results show that wavelet transform can effectively extract the feature quantities of disturbance signals,and its performance is better than traditional Fourier transform methods.It is of great significance for improving the accuracy and stability of feature quantity extraction of disturbance signals.
NETL
NSTL
万方数据
