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Title: | Analysis of transient multiexponential signals using exponential compensation deconvolution |
Authors: | Jibia, Abdussamad U. Salami, Momoh-Jimoh E. |
Keywords: | Gardner transform Multiexponential Exponential compensation deconvolution MUSIC Minimum norm Fluorescence |
Issue Date: | 1-Jan-2012 |
Publisher: | Elsevier |
Citation: | Jibia, A. U., & Salami, M. J. E. (2012). Analysis of transient multiexponential signals using exponential compensation deconvolution. Measurement, 45(1), 19-29. |
Abstract: | A 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. |
URI: | https://doi.org/10.1016/j.measurement.2011.10.015 http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/612 |
Appears in Collections: | Research Articles |
Files in This Item:
File | Description | Size | Format | |
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Analysis of transient multiexponential signals using exponential compensation deconvolution.pdf | Abstract | 290.34 kB | Adobe PDF | View/Open |
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