• 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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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  • 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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