Nonlinear non-extensive approach for identification of structured information
Mathematical Physics
2015-05-13 v1 math.MP
Abstract
The problem of separating structured information representing phenomena of differing natures is considered. A structure is assumed to be independent of the others if can be represented in a complementary subspace. When the concomitant subspaces are well separated the problem is readily solvable by a linear technique. Otherwise, the linear approach fails to correctly discriminate the required information. Hence, a non extensive approach is proposed. The resulting nonlinear technique is shown to be suitable for dealing with cases that cannot be tackled by the linear one.
Cite
@article{arxiv.0908.0694,
title = {Nonlinear non-extensive approach for identification of structured information},
author = {Laura Rebollo-Neira and A. PLastino},
journal= {arXiv preprint arXiv:0908.0694},
year = {2015}
}
Comments
Physica A, in press