论文标题
格拉曼尼亚法规决定因素的统计表征
Statistical characterization of the chordal product determinant of Grassmannian codes
论文作者
论文摘要
我们考虑弦产品决定因素，这是相同维度两个子空间之间的距离的度量。在信息理论中，搜索了复杂的硕士元素的收集，其成对和弦产品尽可能大。我们从统计的角度表征了此功能，这使我们能够获得此类集合的最小弦产品和相关能量的界限。
We consider the chordal product determinant, a measure of the distance between two subspaces of the same dimension. In information theory, collections of elements in the complex Grassmannian are searched with the property that their pairwise chordal products are as large as possible. We characterize this function from an statistical perspective, which allows us to obtain bounds for the minimal chordal product and related energy of such collections.
