Analysis of transient multiexponential signals using cepstral deconvolution

We propose and test a new method of multiexponential transient signal analysis. The method based on cepstral deconvolution is fast and computationally inexpensive. The multiexponential signal is initially converted to a deconvolution model using Gardners' transformation after which the proposed...

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Main Authors: Abdussamad , U. Jibia, Salami, Momoh Jimoh Emiyoka, Khalifa, Othman Omran, Aibinu, Abiodun Musa
Format: Article
Language:English
Published: Elsevier 2010
Subjects:
Online Access:http://irep.iium.edu.my/1771/4/Analysis_of_transient_multiexponential_signals_using_cepstral.pdf
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author Abdussamad , U. Jibia
Salami, Momoh Jimoh Emiyoka
Khalifa, Othman Omran
Aibinu, Abiodun Musa
author_facet Abdussamad , U. Jibia
Salami, Momoh Jimoh Emiyoka
Khalifa, Othman Omran
Aibinu, Abiodun Musa
author_sort Abdussamad , U. Jibia
collection IIUM
description We propose and test a new method of multiexponential transient signal analysis. The method based on cepstral deconvolution is fast and computationally inexpensive. The multiexponential signal is initially converted to a deconvolution model using Gardners' transformation after which the proposed method is used to deconvolve the data. Simulation and experimental results indicate that this method is good for determining the number of components but performs poorly in accurately estimating the decay rates. Influence of noise is not considered in this paper.
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spelling oai:generic.eprints.org:17712020-10-20T00:35:40Z http://irep.iium.edu.my/1771/ Analysis of transient multiexponential signals using cepstral deconvolution Abdussamad , U. Jibia Salami, Momoh Jimoh Emiyoka Khalifa, Othman Omran Aibinu, Abiodun Musa TK9001 Nuclear engineering. Atomic power We propose and test a new method of multiexponential transient signal analysis. The method based on cepstral deconvolution is fast and computationally inexpensive. The multiexponential signal is initially converted to a deconvolution model using Gardners' transformation after which the proposed method is used to deconvolve the data. Simulation and experimental results indicate that this method is good for determining the number of components but performs poorly in accurately estimating the decay rates. Influence of noise is not considered in this paper. Elsevier 2010-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1771/4/Analysis_of_transient_multiexponential_signals_using_cepstral.pdf Abdussamad , U. Jibia and Salami, Momoh Jimoh Emiyoka and Khalifa, Othman Omran and Aibinu, Abiodun Musa (2010) Analysis of transient multiexponential signals using cepstral deconvolution. Applied and Computational Harmonic Analysis, 29 (1). pp. 88-96. ISSN 1063-5203 http://www.elsevier.com/wps/find/journaldescription.cws_home/622786/description#description doi:10.1016/j.acha.2009.06.002
spellingShingle TK9001 Nuclear engineering. Atomic power
Abdussamad , U. Jibia
Salami, Momoh Jimoh Emiyoka
Khalifa, Othman Omran
Aibinu, Abiodun Musa
Analysis of transient multiexponential signals using cepstral deconvolution
title Analysis of transient multiexponential signals using cepstral deconvolution
title_full Analysis of transient multiexponential signals using cepstral deconvolution
title_fullStr Analysis of transient multiexponential signals using cepstral deconvolution
title_full_unstemmed Analysis of transient multiexponential signals using cepstral deconvolution
title_short Analysis of transient multiexponential signals using cepstral deconvolution
title_sort analysis of transient multiexponential signals using cepstral deconvolution
topic TK9001 Nuclear engineering. Atomic power
url http://irep.iium.edu.my/1771/4/Analysis_of_transient_multiexponential_signals_using_cepstral.pdf
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AT khalifaothmanomran analysisoftransientmultiexponentialsignalsusingcepstraldeconvolution
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