Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques
Previous work has shown that the deconvolution technique is one of the most effective procedures for analyzing transient exponentially decaying signals. Direct deconvolution approach often leads to poor resolution of ihe estimated decay rates since the fast Fourier transform (FFT) algorithm is...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/6945/ http://irep.iium.edu.my/6945/1/Analysis_of_Multiexponential_Transient_signals_Using_Interpolation-Based.pdf |
| _version_ | 1848776754233081856 |
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| author | Salami, Momoh Jimoh Eyiomika Ismail, Z. |
| author_facet | Salami, Momoh Jimoh Eyiomika Ismail, Z. |
| author_sort | Salami, Momoh Jimoh Eyiomika |
| building | IIUM Repository |
| collection | Online Access |
| description | Previous work has shown that the deconvolution
technique is one of the most effective procedures for
analyzing transient exponentially decaying signals.
Direct deconvolution approach often leads to poor
resolution of ihe estimated decay rates since the fast
Fourier transform (FFT) algorithm is used to analyze
the resulting deconvolved data. One of the most
promising approaches is based on optimal inverse
Xltering followed by fitting an autoregressive moving
average ( A M ) model to the deconvolved data so that
its AR parameters are determined by solving high order
Yule- Walker equations (HOYWE) via the singular value
decomposition (SVD) algorithm. Many desirable results
have been obtained by using this technique for both
clean and noisy signals. However, the real-time
implementation of this algorithm poses some diflculties
since nonlinear transformation is involved in such
analysis. One method of overcoming this d1ficulty is by
incorporating the spline interpolation algorithm into the
nonlinear preprocessing procedure. The performance of
the proposed algorithm in accurately estimating the
number of exponential signals and their corresponding
exponential consfanis for both simulated and real data is
investigated in this paper. Results of analysis have
shown that high-resolution estimates of decay constants
are obtained when the proposed algorithm is used to
analyze multiexponential signals with varied signal-tonoise
(SNR) ratio. |
| first_indexed | 2025-11-14T14:35:07Z |
| format | Proceeding Paper |
| id | iium-6945 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:35:07Z |
| publishDate | 2003 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-69452013-05-08T06:41:37Z http://irep.iium.edu.my/6945/ Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques Salami, Momoh Jimoh Eyiomika Ismail, Z. T Technology (General) Previous work has shown that the deconvolution technique is one of the most effective procedures for analyzing transient exponentially decaying signals. Direct deconvolution approach often leads to poor resolution of ihe estimated decay rates since the fast Fourier transform (FFT) algorithm is used to analyze the resulting deconvolved data. One of the most promising approaches is based on optimal inverse Xltering followed by fitting an autoregressive moving average ( A M ) model to the deconvolved data so that its AR parameters are determined by solving high order Yule- Walker equations (HOYWE) via the singular value decomposition (SVD) algorithm. Many desirable results have been obtained by using this technique for both clean and noisy signals. However, the real-time implementation of this algorithm poses some diflculties since nonlinear transformation is involved in such analysis. One method of overcoming this d1ficulty is by incorporating the spline interpolation algorithm into the nonlinear preprocessing procedure. The performance of the proposed algorithm in accurately estimating the number of exponential signals and their corresponding exponential consfanis for both simulated and real data is investigated in this paper. Results of analysis have shown that high-resolution estimates of decay constants are obtained when the proposed algorithm is used to analyze multiexponential signals with varied signal-tonoise (SNR) ratio. 2003 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/6945/1/Analysis_of_Multiexponential_Transient_signals_Using_Interpolation-Based.pdf Salami, Momoh Jimoh Eyiomika and Ismail, Z. (2003) Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques. In: International Conference on Industrial Technology 2003, 10-12th December 2003, Maribor, Slovenia. |
| spellingShingle | T Technology (General) Salami, Momoh Jimoh Eyiomika Ismail, Z. Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques |
| title | Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques |
| title_full | Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques |
| title_fullStr | Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques |
| title_full_unstemmed | Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques |
| title_short | Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques |
| title_sort | analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/6945/ http://irep.iium.edu.my/6945/1/Analysis_of_Multiexponential_Transient_signals_Using_Interpolation-Based.pdf |