SOURCE SEPARATION USING HIGHER-ORDER STATISTICS

被引：6

作者：

LACOUME, JL

GAETA, M

KOFMAN, W

机构：

[1] CEPHAG-ENSIEG, UA346, BP 46

来源：

JOURNAL OF ATMOSPHERIC AND TERRESTRIAL PHYSICS | 1992年 / 54卷 / 10期

关键词：

D O I：

10.1016/0021-9169(92)90030-O

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

A large number of source separation algorithms have been developed using the second order statistics of the observed data and a priori knowledge of the model. Here we give a maximum likelihood solution based on the second order and higher order statistics of the data. This new algorithm is illustrated on simulated data.

引用

页码：1217 / 1226

页数：10