Transient multiexponential data analysis using a combination of ARMA and ECD methods

Another attempt at estimating the time constants and number of components of multiple exponentials in white Gaussian noise is presented. Based on classical Gardner transform, the approach consists of two techniques. First, exponential compensation deconvolution method is used to deconvolved the d...

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Main Authors:	Jibia, Abdussamad Umar, Salami, Momoh Jimoh Eyiomika
Format:	Article
Language:	English
Published:	IACSIT Press, Singapore 2012
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/25573/ http://irep.iium.edu.my/25573/ http://irep.iium.edu.my/25573/1/029-ICCET2012-T10059.pdf

id	iium-25573
recordtype	eprints
spelling	iium-255732012-08-30T06:37:59Z http://irep.iium.edu.my/25573/ Transient multiexponential data analysis using a combination of ARMA and ECD methods Jibia, Abdussamad Umar Salami, Momoh Jimoh Eyiomika T Technology (General) Another attempt at estimating the time constants and number of components of multiple exponentials in white Gaussian noise is presented. Based on classical Gardner transform, the approach consists of two techniques. First, exponential compensation deconvolution method is used to deconvolved the discrete convolution model arising from the application of Gardner transform. The deconvolved data is then truncated and further processed using autoregressive moving average (ARMA) model whose AR parameters are determined by using high-order Yule-Walker equations via the singular value decomposition (SVD) algorithm. Simulations carried out using a number of synthetic signals demonstrate the effectiveness of the proposed technique. Simulation results shows that this combination is more effective than many existing techniques. It is clearly demonstrated that the proposed approach supersedes a number of popular techniques. Its limitations are also highlighted. IACSIT Press, Singapore 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/25573/1/029-ICCET2012-T10059.pdf Jibia, Abdussamad Umar and Salami, Momoh Jimoh Eyiomika (2012) Transient multiexponential data analysis using a combination of ARMA and ECD methods. International Proceedings of Computer Science and Information Technology (IPCSIT), 40. pp. 141-145. ISSN 2010-460X http://www.ipcsit.com/vol40/029-ICCET2012-T10059.pdf
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) Jibia, Abdussamad Umar Salami, Momoh Jimoh Eyiomika Transient multiexponential data analysis using a combination of ARMA and ECD methods
description	Another attempt at estimating the time constants and number of components of multiple exponentials in white Gaussian noise is presented. Based on classical Gardner transform, the approach consists of two techniques. First, exponential compensation deconvolution method is used to deconvolved the discrete convolution model arising from the application of Gardner transform. The deconvolved data is then truncated and further processed using autoregressive moving average (ARMA) model whose AR parameters are determined by using high-order Yule-Walker equations via the singular value decomposition (SVD) algorithm. Simulations carried out using a number of synthetic signals demonstrate the effectiveness of the proposed technique. Simulation results shows that this combination is more effective than many existing techniques. It is clearly demonstrated that the proposed approach supersedes a number of popular techniques. Its limitations are also highlighted.
format	Article
author	Jibia, Abdussamad Umar Salami, Momoh Jimoh Eyiomika
author_facet	Jibia, Abdussamad Umar Salami, Momoh Jimoh Eyiomika
author_sort	Jibia, Abdussamad Umar
title	Transient multiexponential data analysis using a combination of ARMA and ECD methods
title_short	Transient multiexponential data analysis using a combination of ARMA and ECD methods
title_full	Transient multiexponential data analysis using a combination of ARMA and ECD methods
title_fullStr	Transient multiexponential data analysis using a combination of ARMA and ECD methods
title_full_unstemmed	Transient multiexponential data analysis using a combination of ARMA and ECD methods
title_sort	transient multiexponential data analysis using a combination of arma and ecd methods
publisher	IACSIT Press, Singapore
publishDate	2012
url	http://irep.iium.edu.my/25573/ http://irep.iium.edu.my/25573/ http://irep.iium.edu.my/25573/1/029-ICCET2012-T10059.pdf
first_indexed	2023-09-18T20:38:06Z
last_indexed	2023-09-18T20:38:06Z
_version_	1777409182191845376

Transient multiexponential data analysis using a combination of ARMA and ECD methods

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