doi: 10.7763/IJCTE.2012.V4.571
Parameter Estimation of Transient Multiexponential Signals Using SVD-ARMA and Multiparameter Deconvolution Techniques
Abdussamad U. Jibia1
,
Momoh-Jimoh E. Salami2
- 1Department of Electrical Engineering, Bayero University Kano, Nigeria.
- 2Department of Mechatronics Engineering, International Islamic University Malaysia.
Abstract
Much has been reported about the analysis of transient multiexponentials data. In a previous paper, for example, this analysis was done using autoregressive moving average model which was applied to the deconvolved data arising from the application of Gardner transform followed by optimal compensation deconvolution to the original signal. Optimal compensation deconvolution uses a single parameter noise-reduction parameter. In this paper, a deconvolution parameter incorporating multiple noise-reduction parameters is used instead. Simulations and experimental results show that the proposed combination, despite its limitations supersedes several existing methods.
Keywords
- ARMA
- multiparameter
- multiexponential
- deconvolution
How to Cite
Abdussamad U. Jibia and Momoh-Jimoh E. Salami, "Parameter Estimation of Transient Multiexponential Signals Using SVD-ARMA and Multiparameter Deconvolution Techniques," International Journal of Computer Theory and Engineering, vol. 4, no. 5, pp. 751-757, 2012. https://doi.org/10.7763/IJCTE.2012.V4.571
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).