Analysis of multicomponent transient signals using music superresolution technique
The problem of estimating the parameters of transient signals consisting of real decay constants has for long been a subject of study by many researchers. Such signals arise in many problems in Science and Engineering like nuclear magnetic resonance for medical diagnosis, deep-level transient s...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/6944/ http://irep.iium.edu.my/6944/1/Analysis_of_Multicomponent_Transient_Signals_Using_MUSIC_Superresolution.pdf |
| Summary: | The problem of estimating the parameters of
transient signals consisting of real decay constants has
for long been a subject of study by many researchers.
Such signals arise in many problems in Science and
Engineering like nuclear magnetic resonance for
medical diagnosis, deep-level transient spectroscopy,
fluorescence decay analysis, etc. Many techniques
have been suggested by researchers to analyse these
signals but they often produce mixed results. A new
method of analysis using modified MUSIC (multiple
signal classification) subspace algorithm is
successfully applied to the analysis of this signal. A
noisy multiexponential signal is subjected to a
preprocessing procedure consisting of Gardeners'
transformation and inverse filtering. Modified MUSIC
algorithm is then applied to the deconvolved data. The
parameters of focus in this paper are the number of
components and decay constants. It is shown that with
this technique parameter estimates do not significantly
change with Signal to Noise Ratio. The superiority of
this algorithm over conventional MUSIC algorithm is
also shown. |
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