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

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	2470/25573 (2012 4th International Conference on Computer Engineering and Technology (ICCET 2012))
Uncontrolled Keywords:	ARMA, ECD, deconvulation, Gardner transform, SVD
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Prof Momoh-Jimoh Salami
Date Deposited:	30 Aug 2012 14:36
Last Modified:	30 Aug 2012 14:37
URI:	http://irep.iium.edu.my/id/eprint/25573

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