针对图像去噪问题， 提出了两种基于三变量模型的剪切波去噪方法。 首先利用互信息对剪切波系数间的依赖关系进行量化分析；

Two shearlet-based denoising methods using trivariate prior model are proposed for image denoising. The dependency among shearlet coefficients is analyzed via mutual information.

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尽管市场更重视某一个倍数，好的模型至少要包含三个倍数变量。

While the market may place more emphasis on one multiple over another, a good model consists of at least three variables.

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结果：在我们的模型中，三个变量预测6个月内预后不佳：年龄、以前的腹泻、和登记后2周内的GBS残疾评分。

FINDINGS: we included three variables that were predictive of poor outcome at 6 months in our model: age, preceding diarrhoea, and GBS disability score at 2 weeks after entry.

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