Statistical Recognition of Multivariate Non-Gaussian Patterns

被引：0

作者：

V. S. Mukha

机构：

[1] Belarussian State University of Informatics and Radioelectronics,

来源：

Automation and Remote Control | 2001年 / 62卷

关键词：

Mechanical Engineer; Pattern Distribution; Modeling Experiment; System Theory; Decision Rule;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Statistical recognition of multivariate patterns is investigated for the case in which the attribute vectors of patterns have non-Gaussian distributions and only the moments of these distributions are known. A recognition approach based on the approximation of pattern distributions by Gram–Charlier series and use of the Bayes decision rule is developed. New decision rules are designed. A computer-aided modeling experiment is described.

引用

页码：580 / 589

页数：9