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。
Wavelet thresholding technology is using the sparse property of wavelet representation and diagonal filter for signal denoising . This method is nearly optimal in many signal spaces.
小波阈值降噪技术利用小波变换表示信号的稀疏性质，使用对角形式的阈值滤波器达到信号降噪的目的，这个方法在很多信号空间上是近似最优的。
And then, establish the adaptive thresholding algorithm. Thus, we get a new adaptive threshold denoising method fit for coherent noise.
并在此基础上确定了自适应阈值计算方法，建立了新的阈值去噪法，可用于去除相干噪声。
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。
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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