AN ADAPTIVE GEOMETRICAL PROCEDURE FOR BLIND SEPARATION OF SOURCES

被引：9
|
作者：
PUNTONET, CG [1 ]
PRIETO, A [1 ]
机构：
[1] UNIV GRANADA,FAC CIENCIAS,DEPT ELECTR & TECNOL COMPUTADORES,E-18071 GRANADA,SPAIN
来源：
NEURAL PROCESSING LETTERS | 1995年 / 2卷 / 05期
关键词：
D O I：
10.1007/BF02332162
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In many Signal Processing applications, data sampled by sensors comprise a mixture of signals from different sources. The problem of blind separation lies in the reconstruction of sources from the mixtures. In this paper a new method is proposed for the separation of sources, based on geometrical considerations. After a brief introduction, we present the principles of the new method and provide a description of the algorithm and map this on an artificial neural network. Finally we give examples with synthetic and real signals to illustrate the efficiency and utility of the network
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页码：23 / 27
页数：5
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