Analysis of transient using homomorphic deconvolution technique
Transient multiexponential signals with real decay constants occurs in different areas of science and technology. Such signals arise in deep-level transient spectroscopy, fluorescence decay analysis, NMR relaxation data, etc. Due to their nonorthogonality, their analysis has proved difficult usi...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/23074/ http://irep.iium.edu.my/23074/ http://irep.iium.edu.my/23074/1/p112.pdf |
| Summary: | Transient multiexponential signals with real decay constants occurs in different areas of science and
technology. Such signals arise in deep-level transient spectroscopy, fluorescence decay analysis, NMR
relaxation data, etc. Due to their nonorthogonality, their analysis has proved difficult using conventional
signal processing techniques. Many techniques have been proposed by different researchers but they often
produce mixed result. A new method of multiexponential transient signal analysis is hereby proposed and
tested. The method based on cepstral deconvolution is fast and computationally inexpensive. The
multiexponential signal is initially converted to a deconvolution model using Gardner transform after
which the proposed method is used to deconvolve the data. Simulation and experimental results indicate
that this method is good for determining the number of components but performs poorly in estimating the
decay rates. |
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