Analysis of transient multiexponential signals using exponential compensation deconvolution

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dc.contributor.authorJibia, Abdussamad U.
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.date.accessioned2019-10-24T13:48:38Z
dc.date.available2019-10-24T13:48:38Z
dc.date.issued2012-01-01
dc.description.abstractA three-step procedure for the parameter estimation of transient multiexponential signals is proposed. The first step involves the use of the classical Gardner transform to convert the data signal into a convolution model which is deconvolved using exponential compensation deconvolution technique in the second step. In the third step, eigenvector algorithms are used to process the resulting complex exponentials to obtain better estimates of decay rates and number of components. Simulation and experimental results show that this method outperforms previous approaches if a number of preprocessing parameters are correctly selected.en_US
dc.identifier.citationJibia, A. U., & Salami, M. J. E. (2012). Analysis of transient multiexponential signals using exponential compensation deconvolution. Measurement, 45(1), 19-29.en_US
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2011.10.015
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/612
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectGardner transformen_US
dc.subjectMultiexponentialen_US
dc.subjectExponential compensation deconvolutionen_US
dc.subjectMUSICen_US
dc.subjectMinimum normen_US
dc.subjectFluorescenceen_US
dc.titleAnalysis of transient multiexponential signals using exponential compensation deconvolutionen_US
dc.typeArticleen_US
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