Matlab-Based Algorithm for Real Time Analysis of Multiexponential Transient Signals
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Date
2012-09-26
Journal Title
Journal ISSN
Volume Title
Publisher
BoD–Books on Demand
Abstract
Multiexponential transient signals are particularly important due to their occurrences in many natural phenomena and human applications. For instance, it is important in the study of nuclear magnetic resonance (NMR) in medical diagnosis (Cohn-Sfetcu et al., 1975)), relaxation kinetics of cooperative conformational changes in biopolymers (Provencher, 1976), solving system identification problems in control and communication engineering (Prost and Guotte, 1982), fluorescence decay of proteins (Karrakchou et al., 1992), fluorescence decay analysis (Lakowicz, 1999). Several research work have been reported on the analysis of multicomponent transient signals following the pioneer work of Prony in 1795 (Prony, 1975) and Gardner et al. in 1959 (Gardner, 1979). Detailed review of several techniques for multicomponent transient signals’ analysis was recently reported in (Jibia, 2010).
Description
Keywords
Matlab-Based Algorithm, Real Time Analysis, Multiexponential Transient Signals
Citation
Salami, M. J. E., & Tijani, I. B. (2012). Matlab-Based Algorithm for Real Time Analysis of Multiexponential Transient Signals. MATLAB: A Fundamental Tool for Scientific Computing and Engineering Applications, 1, 423.