Matlab-Based Algorithm for Real Time Analysis of Multiexponential Transient Signals

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dc.contributor.authorSalami, Momoh-Jimoh E.
dc.contributor.authorTijani, Ismaila B.
dc.date.accessioned2019-10-16T14:02:30Z
dc.date.available2019-10-16T14:02:30Z
dc.date.issued2012-09-26
dc.description.abstractMultiexponential 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).en_US
dc.identifier.citationSalami, 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.en_US
dc.identifier.urihttp://dx.doi.org/10.5772/50006
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/557
dc.language.isoenen_US
dc.publisherBoD–Books on Demanden_US
dc.subjectMatlab-Based Algorithmen_US
dc.subjectReal Time Analysisen_US
dc.subjectMultiexponential Transient Signalsen_US
dc.titleMatlab-Based Algorithm for Real Time Analysis of Multiexponential Transient Signalsen_US
dc.typeArticleen_US
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