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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