Automatic analysis of composite physical signals using non-negative factorization and information criterion.

ABSTRACT: In time-resolved spectroscopy, composite signal sequences representing energy transfer in fluorescence materials are measured, and the physical characteristics of the materials are analyzed. Each signal sequence is represented by a sum of non-negative signal components, which are expressed by model functions. For analyzing the physical characteristics of a measured signal sequence, the parameters of the model functions are estimated. Furthermore, in order to quantitatively analyze real measurement data and to reduce the risk of improper decisions, it is necessary to obtain the statistical characteristics from several sequences rather than just a single sequence. In the present paper, we propose an automatic method by which to analyze composite signals using non-negative factorization and a

SUBMITTER: Watanabe K 

PROVIDER: S-EPMC3291575 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature