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1·Soft thresholding method has been a standard procedure in signal de-noising.

软阈值消噪是信号消噪中的标准算法。

2·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。

3·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。

4·Simulations show that the improved soft-thresholding function is obviously better than the other three improved thresholding functions in terms of SNR and MSE.

仿真实验显示：无论是信噪比还是最小平方误差，改进的软阈值函数比其它三种改进的阈值函数的效果都要好一些。

5·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。