| 一类新的独立性度量及其在盲信号分离中的应用 |
| |
| 引用本文： | 陈阳,何振亚.一类新的独立性度量及其在盲信号分离中的应用[J].武汉大学学报(信息科学版),2004,29(1):84-88. |
| |
| 作者姓名： | 陈阳 何振亚 |
| |
| 作者单位： | 东南大学无线电工程系,南京市四牌楼2号,210096 |
| |
| 基金项目： | 国家自然科学基金青年科学基金资助项目 (60 2 0 2 0 14 ) |
| |
| 摘 要： | 提出了一类无穷多种称为准熵的新的独立性度量 ,它们用严格凸函数对原变量经分布函数变换再量化后得到的变量的联合概率的均匀性进行度量 ,并提出了基于准熵的盲分离算法 ,可分离任意连续分布的信号 ,包括峭度为零的信号。通过与前人算法的对比试验 ,证实了基于准熵的算法的优越性
|
| 关 键 词： | 盲分离 独立性 独立元分析 |
| 文章编号： | 1671-8860(2004)01-0084-05 |
| 修稿时间： | 2003年11月12 |
A Class of New Independence Measures and Their Application to Blind Signal Separation |
| |
| CHEN Yang,HE Zhenya.A Class of New Independence Measures and Their Application to Blind Signal Separation[J].Geomatics and Information Science of Wuhan University,2004,29(1):84-88. |
| |
| Authors: | CHEN Yang HE Zhenya |
| |
| Institution: | CHEN Yang 1 HE Zhenya 1 |
| |
| Abstract: | A class of new infinitely many independence measures named quasi\|entropy (QE) is proposed, in which strictly convex functions are used to evaluate the uniformity of the joint probability of the variables. In QE, none of priori assumptions is made on the shape or statistical features of the distribution functions of continuous variables but unbiased estimates of the values of distribution functions are obtained from the samples. Therefore, blind separation algorithms based on QE can separate signals with arbitrary continuous distributions, including those with zero kurtoses. The superior performance of the QE\|based algorithms is verified by comparison experiments with previous algorithms. |
| |
| Keywords: | blind separation independence independent component analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
