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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Format: | Article |
Language: | English |
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Elsevier
2010
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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. |
first_indexed | 2024-03-05T22:29:58Z |
format | Article |
id | oai:generic.eprints.org:1771 |
institution | International Islamic University Malaysia |
language | English |
last_indexed | 2024-03-05T22:29:58Z |
publishDate | 2010 |
publisher | Elsevier |
record_format | dspace |
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 |
work_keys_str_mv | AT abdussamadujibia analysisoftransientmultiexponentialsignalsusingcepstraldeconvolution AT salamimomohjimohemiyoka analysisoftransientmultiexponentialsignalsusingcepstraldeconvolution AT khalifaothmanomran analysisoftransientmultiexponentialsignalsusingcepstraldeconvolution AT aibinuabiodunmusa analysisoftransientmultiexponentialsignalsusingcepstraldeconvolution |