TY - JOUR
T1 - Factorized time correlation diagram analysis of paired causal systems excited by twin stochastic driving functions
AU - Biebighauser, Daniel P.
AU - Turner, Daniel B.
AU - Ulness, Darin J.
PY - 2002/2
Y1 - 2002/2
N2 - This work examines the properties and mathematical structure of factorized time correlation (FTC) diagram analysis in a general context. The goal is to extract general principles and analytic behavior that arc not tied to any particular phenomenon in physics. It is hoped that this will provide a basis for expanded use of FTC diagram analysis beyond its current employment in the study of noisy light-based nonlinear optical spectroscopy. Furthermore, the concept of indirect correlation in a two-channel system driven by twin stationary circular Gaussian stochastic inputs is defined and discussed both analytically and through FTC diagram analysis.
AB - This work examines the properties and mathematical structure of factorized time correlation (FTC) diagram analysis in a general context. The goal is to extract general principles and analytic behavior that arc not tied to any particular phenomenon in physics. It is hoped that this will provide a basis for expanded use of FTC diagram analysis beyond its current employment in the study of noisy light-based nonlinear optical spectroscopy. Furthermore, the concept of indirect correlation in a two-channel system driven by twin stationary circular Gaussian stochastic inputs is defined and discussed both analytically and through FTC diagram analysis.
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U2 - 10.1103/PhysRevE.65.026142
DO - 10.1103/PhysRevE.65.026142
M3 - Article
AN - SCOPUS:41349117146
SN - 1539-3755
VL - 65
SP - 026142/1-026142/12
JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
IS - 2
M1 - 026142
ER -