Analysis of multicomponent transient signals using MUSIC superresolution technique
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Date
2008-05-13
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
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 Gardenerspsila 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.
Description
Keywords
Transient analysis, Signal analysis, Multiple signal classification, Signal resolution, Magnetic analysis, Parameter estimation, Algorithm design and analysis, Biomedical engineering, Nuclear magnetic resonance, Medical diagnosis
Citation
Jibia, A. U., Salami, M. J. E., & Khalifa, O. O. (2008, May). Analysis of multicomponent transient signals using MUSIC superresolution technique. In 2008 International Conference on Computer and Communication Engineering (pp. 104-108). IEEE.