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...

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Main Authors:	Salami, Momoh Jimoh Eyiomika, Ismail, Z.
Format:	Conference or Workshop Item
Language:	English
Published:	2003
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/6945/ http://irep.iium.edu.my/6945/1/Analysis_of_Multiexponential_Transient_signals_Using_Interpolation-Based.pdf

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recordtype	eprints
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 Conference or Workshop Item 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.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Salami, Momoh Jimoh Eyiomika Ismail, Z. Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques
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.
format	Conference or Workshop Item
author	Salami, Momoh Jimoh Eyiomika Ismail, Z.
author_facet	Salami, Momoh Jimoh Eyiomika Ismail, Z.
author_sort	Salami, Momoh Jimoh Eyiomika
title	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_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_sort	analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques
publishDate	2003
url	http://irep.iium.edu.my/6945/ http://irep.iium.edu.my/6945/1/Analysis_of_Multiexponential_Transient_signals_Using_Interpolation-Based.pdf
first_indexed	2023-09-18T20:16:07Z
last_indexed	2023-09-18T20:16:07Z
_version_	1777407798376660992

Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques

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