本文简述了它的工作原理，并在前人分析的基础上提出了滤波器动态概率变换特性的概念。
In this paper, the basic principle of this DPLL and the concept of the dynamic probability transformation characteristic are proposed.
为了更有效地利用图像的局部特征恢复被噪声感染的图像，基于图像局部纹理方向概率统计模型，提出一种针对混合噪声的非线性滤波算法。
In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.
利用概率滤波可得分解后的地震图，从图中可以直接得到震相到时。
The decomposed seismogram is obtained by using probability filtering, the arrived time can be find out from it directly.
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