Analysis of multicomponent transient signals using music superresolution technique

The problem of estimating the parameters of transient signals consisting of real decay constants has for long been a subject of study by many researchers. Such signals arise in many problems in Science and Engineering like nuclear magnetic resonance for medical diagnosis, deep-level transient s...

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Main Authors:	Jibia, Abdussamad Umar, Salami, Momoh Jimoh Emiyoka, Khalifa, Othman Omran
Format:	Conference or Workshop Item
Language:	English
Published:	2008
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/6944/ http://irep.iium.edu.my/6944/1/Analysis_of_Multicomponent_Transient_Signals_Using_MUSIC_Superresolution.pdf

id	iium-6944
recordtype	eprints
spelling	iium-69442020-01-08T10:12:16Z http://irep.iium.edu.my/6944/ Analysis of multicomponent transient signals using music superresolution technique Jibia, Abdussamad Umar Salami, Momoh Jimoh Emiyoka Khalifa, Othman Omran T Technology (General) The problem of estimating the parameters of transient signals consisting of real decay constants has for long been a subject of study by many researchers. Such signals arise in many problems in Science and Engineering like nuclear magnetic resonance for medical diagnosis, deep-level transient spectroscopy, fluorescence decay analysis, etc. Many techniques have been suggested by researchers to analyse these signals but they often produce mixed results. A new method of analysis using modified MUSIC (multiple signal classification) subspace algorithm is successfully applied to the analysis of this signal. A noisy multiexponential signal is subjected to a preprocessing procedure consisting of Gardeners' transformation and inverse filtering. Modified MUSIC algorithm is then applied to the deconvolved data. The parameters of focus in this paper are the number of components and decay constants. It is shown that with this technique parameter estimates do not significantly change with Signal to Noise Ratio. The superiority of this algorithm over conventional MUSIC algorithm is also shown. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/6944/1/Analysis_of_Multicomponent_Transient_Signals_Using_MUSIC_Superresolution.pdf Jibia, Abdussamad Umar and Salami, Momoh Jimoh Emiyoka and Khalifa, Othman Omran (2008) Analysis of multicomponent transient signals using music superresolution technique. In: International Conference on Computer and Communication Engineering 2008 , 13 -15 May 2008 , Kuala Lumpur, Malaysia.
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 Emiyoka Khalifa, Othman Omran Analysis of multicomponent transient signals using music superresolution technique
description	The problem of estimating the parameters of transient signals consisting of real decay constants has for long been a subject of study by many researchers. Such signals arise in many problems in Science and Engineering like nuclear magnetic resonance for medical diagnosis, deep-level transient spectroscopy, fluorescence decay analysis, etc. Many techniques have been suggested by researchers to analyse these signals but they often produce mixed results. A new method of analysis using modified MUSIC (multiple signal classification) subspace algorithm is successfully applied to the analysis of this signal. A noisy multiexponential signal is subjected to a preprocessing procedure consisting of Gardeners' transformation and inverse filtering. Modified MUSIC algorithm is then applied to the deconvolved data. The parameters of focus in this paper are the number of components and decay constants. It is shown that with this technique parameter estimates do not significantly change with Signal to Noise Ratio. The superiority of this algorithm over conventional MUSIC algorithm is also shown.
format	Conference or Workshop Item
author	Jibia, Abdussamad Umar Salami, Momoh Jimoh Emiyoka Khalifa, Othman Omran
author_facet	Jibia, Abdussamad Umar Salami, Momoh Jimoh Emiyoka Khalifa, Othman Omran
author_sort	Jibia, Abdussamad Umar
title	Analysis of multicomponent transient signals using music superresolution technique
title_short	Analysis of multicomponent transient signals using music superresolution technique
title_full	Analysis of multicomponent transient signals using music superresolution technique
title_fullStr	Analysis of multicomponent transient signals using music superresolution technique
title_full_unstemmed	Analysis of multicomponent transient signals using music superresolution technique
title_sort	analysis of multicomponent transient signals using music superresolution technique
publishDate	2008
url	http://irep.iium.edu.my/6944/ http://irep.iium.edu.my/6944/1/Analysis_of_Multicomponent_Transient_Signals_Using_MUSIC_Superresolution.pdf
first_indexed	2023-09-18T20:16:06Z
last_indexed	2023-09-18T20:16:06Z
_version_	1777407798230908928

Analysis of multicomponent transient signals using music superresolution technique

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