Analysis of transient multiexponential signals using exponential compensation deconvolution

A three-step procedure for the parameter estimation of transient multiexponential signals is proposed. The first step involves the use of the classical Gardner transform to convert the data signal into a convolution model which is deconvolved using exponential compensation deconvolution technique...

Full description

Bibliographic Details
Main Authors:	Jibia, Abdussamad Umar, Salami, Momoh Jimoh Eyiomika
Format:	Article
Language:	English
Published:	Elsevier Ltd. 2012
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/7951/ http://irep.iium.edu.my/7951/ http://irep.iium.edu.my/7951/ http://irep.iium.edu.my/7951/1/MEASUR1699%5B2%5D.pdf

id	iium-7951
recordtype	eprints
spelling	iium-79512012-03-21T06:10:37Z http://irep.iium.edu.my/7951/ Analysis of transient multiexponential signals using exponential compensation deconvolution Jibia, Abdussamad Umar Salami, Momoh Jimoh Eyiomika T Technology (General) A three-step procedure for the parameter estimation of transient multiexponential signals is proposed. The first step involves the use of the classical Gardner transform to convert the data signal into a convolution model which is deconvolved using exponential compensation deconvolution technique in the second step. In the third step, eigenvector algorithms are used to process the resulting complex exponentials to obtain better estimates of decay rates and number of components. Simulation and experimental results show that this method outperforms previous approaches if a number of preprocessing parameters are correctly selected. Elsevier Ltd. 2012-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/7951/1/MEASUR1699%5B2%5D.pdf Jibia, Abdussamad Umar and Salami, Momoh Jimoh Eyiomika (2012) Analysis of transient multiexponential signals using exponential compensation deconvolution. Measurement, 45 (1). pp. 19-29. ISSN 0263-2241 http://www.sciencedirect.com/science/article/pii/S0263224111003617 doi:10.1016/j.measurement.2011.10.015
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 Analysis of transient multiexponential signals using exponential compensation deconvolution
description	A three-step procedure for the parameter estimation of transient multiexponential signals is proposed. The first step involves the use of the classical Gardner transform to convert the data signal into a convolution model which is deconvolved using exponential compensation deconvolution technique in the second step. In the third step, eigenvector algorithms are used to process the resulting complex exponentials to obtain better estimates of decay rates and number of components. Simulation and experimental results show that this method outperforms previous approaches if a number of preprocessing parameters are correctly selected.
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	Analysis of transient multiexponential signals using exponential compensation deconvolution
title_short	Analysis of transient multiexponential signals using exponential compensation deconvolution
title_full	Analysis of transient multiexponential signals using exponential compensation deconvolution
title_fullStr	Analysis of transient multiexponential signals using exponential compensation deconvolution
title_full_unstemmed	Analysis of transient multiexponential signals using exponential compensation deconvolution
title_sort	analysis of transient multiexponential signals using exponential compensation deconvolution
publisher	Elsevier Ltd.
publishDate	2012
url	http://irep.iium.edu.my/7951/ http://irep.iium.edu.my/7951/ http://irep.iium.edu.my/7951/ http://irep.iium.edu.my/7951/1/MEASUR1699%5B2%5D.pdf
first_indexed	2023-09-18T20:17:30Z
last_indexed	2023-09-18T20:17:30Z
_version_	1777407885435731968

Analysis of transient multiexponential signals using exponential compensation deconvolution

Similar Items