Analysis of multicomponent transient signals using music superresolution technique

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.

PDF (Analysis of Multicomponent Transient Signals Using MUSIC Superresolution Technique) - Published Version Restricted to Registered users only Download (595kB) | Request a copy

Abstract

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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	2470/6944
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:	08 Aug 2012 15:03
Last Modified:	08 Jan 2020 18:12
URI:	http://irep.iium.edu.my/id/eprint/6944

Actions (login required)

View Item