Empirical Mode Decomposition(EMD)is a new method of non-stationary signal processing method starting to prosper in recent years,but the end effect caused by the decomposition results in serious distortion.Therefore,an improved self-adaptive waveform matching extension method is proposed to study end effect of EMD,which can determine extension points according to different characteristics of signal ends to solve the end effect problem.Experiment results show that the improved self-adaptive waveform matching extension method can avoid the distortion of EMD of signal.The improved EMD combined with wavelet soft threshold denoising method is used to process the ultrasonic simulation signal with noise,and the signal-to-noise ratio is 33.78％higher than that of the wavelet soft threshold method,indicating that this method has certain advantages in nonlinear and non-stationary signal processing.
关键词
非平稳信号处理/经验模态分解/端点效应/波形匹配延拓法/超声仿真信号去噪
Key words
non-stationary signal processing/empirical mode decomposition/end effect/waveform matc-hing extension method/denoising of ultrasonic simulation signal
维普
万方数据