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
收藏
页码：1217 / 1226
页数：10
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