Theoretical analysis shows that the proposed method can effectively reduce the lower bound of denoising error of the wavelet denoising method based on soft thresholding.
理论分析表明，该方法能有效地降低软阈值小波降噪法的误差下界。
Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures.
建立了一种小波软阈值径向基函数神经网络(STWRBFN)方法，同时定量分析了多组分混合物。
The improved method proposed in this paper is soft-hard thresholding denoising according to mean approximation.
提出的改进方法是利用均值逼近的软硬阈值折中法。
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