Two Algorithms Distinguishing Distinct Link Diagrams up to Planar Isotopy 两种区分平面投影图平面合痕类的算法
An Efficient Algorithm of Latin Squares Isotopy Classfication 拉丁方合痕分类的快速算法
On the isotopy of a complex in a Euclidean space(ⅰ) 复合形在欧氏空间中的同痕问题(Ⅰ)
Isotopy Classes of ( 4, k) Latin Array (4,k)-拉丁阵(k≤11)的合痕分类
The Number of Latin Cube and Its Isotopy 拉丁立方的计数与合痕分类
Computer aided method AIC for finding the isotopy classes of the Latin squares 拉丁方合痕分类的计算机辅助方法AIC
The imaging of PET is to count the photon events emitted by the annihilation. The purpose of reconstruction is to recover the density distribution of isotopy. 正电子成像过程是对正负电子湮灭产生的光子对进行计数,而重建的目的是要恢复放射性核素的位置分布信息。
In reconstruction practice, we have to discrete density distribution into pixels. The isotopy distribution is uniformly through the whole pixel, and it emits positron follow a space Poisson point process. 一般来说,重建算法总是将连续的密度分布离散化为像素,且认为每个像素的密度分布均匀,它的正电子发射是空间Poisson过程。