The denoising method adopt a bivariate shrinkage function. Experiments results show that the proposed method is an effective method.4.
DT-CWT在每一层产生六个具有方向选择性的子带，去噪时采用双变量的阈值收缩函数，实验结果表明这是一种高效的去噪算法。
参考来源 - 多尺度分析在图像处理中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
最后，将该信号经收缩函数后处理，得到增强后的目标语音信号。
Finally, after synthesis filter Banks, shrinkage function was used to enhance estimated target signal further.
基于贝叶斯估计理论，得到了相应的非线性阈值函数（双变量收缩函数）。
The corresponding nonlinear threshold functions (bivariate shrinkage function) are derived from the model using the Bayesian estimation theory.
实验结果表明，该方法较双变量收缩函数去噪方法在PSNR值上又有了提高。
Compared with the image denoising method using bivariate shrinkage function, the experiment result shows the PSNR is enhanced using this method.
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