Title
Separation of sources: a geometry-based procedure for reconstruction of n-valued signals
Abstract
In many Signal Processing applications, data sampled by sensors comprise a mixture of signals from different sources. The problem of separation lies in the reconstruction of sources from the mixtures. In this paper a new method is proposed for the separation of mixed digital sources, based on geometrical considerations, which is applied to the separation of binary and n-valued sources. After a brief introduction, we present the principles of the new method and provide a description of the algorithms together with examples to illustrate their efficiency and utility.
Year
DOI
Venue
1995
10.1016/0165-1684(95)00088-0
Signal Processing
Keywords
Field
DocType
BLIND SEPARATION,GEOMETRICAL PROCEDURE,DIGITAL SOURCES
Signal processing,Mathematical optimization,Computer science,Algorithm,Artificial intelligence,Blind signal separation,Machine learning,Binary number
Journal
Volume
Issue
ISSN
46
3
0165-1684
Citations 
PageRank 
References 
20
2.20
6
Authors
5
Name
Order
Citations
PageRank
C. G. Puntonet135434.99
A. Prieto241925.23
Christian Jutten345039.98
Manuel Rodriguez4798.07
J. Ortega594073.05