Wavelet Strategies and Evaluation Indicator in Time Series Data Denoising

We introduce the gap of mean square error variances,corre-lation coefficient,signal-nosie ratio and flatness to analyze the relationship between the denoising result of different wavelet strategies and indicator.The result shows that the RMS of wavelet denoising strategy is positively correlated with the trend of the four indicators and the correlation coefficient is 0.95,which is different from wavelet decomposition and reconstruction phase.We use normali-zed composite indicator to replace the unknownRMS to evaluate the denoising effect,and regard denoising residual distribution as reliability qualitative indicator.