Analysis of transient multiexponential signals using exponential compensation deconvolution
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd.
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/7951/ http://irep.iium.edu.my/7951/ http://irep.iium.edu.my/7951/ http://irep.iium.edu.my/7951/1/MEASUR1699%5B2%5D.pdf |
| Summary: | 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. |
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