Improved multiexponential transient spectroscopy by iterative deconvolution

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RECERCAT Home > Universitat de Barcelona > Enginyeria Electrònica i Biomèdica > Articles publicats en revistes (Enginyeria Electrònica i Biomèdica) > View document

To access the full text documents, please follow this link: http://hdl.handle.net/2445/8723

dc.contributor	Universitat de Barcelona
dc.contributor.author	Marco Colás, Santiago
dc.contributor.author	Palacín Roca, Jordi
dc.contributor.author	Samitier i Martí, Josep
dc.date	2009-06-18T08:28:33Z
dc.date	2009-06-18T08:28:33Z
dc.date	2001
dc.identifier.citation	0018-9456
dc.identifier.citation	176004
dc.identifier.uri	http://hdl.handle.net/2445/8723
dc.format	7 p.
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	IEEE
dc.relation	Reproducció del document publicat a http://dx.doi.org/10.1109/19.930453
dc.relation	IEEE Transactions on Instrumentation and Measurement, 2001, vol. 50, núm. 3, p. 774-780.
dc.relation	http://dx.doi.org/10.1109/19.930453
dc.rights	(c) IEEE, 2001
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Espectroscòpia electrònica
dc.subject	Mínims quadrats
dc.subject	Gaussian noise
dc.subject	Laplace transforms
dc.subject	Curve fitting
dc.subject	Deconvolution
dc.subject	Deep level transient spectroscopy
dc.subject	Discrete time filters
dc.subject	Exponential distribution
dc.subject	Iterative methods
dc.subject	Least squares
dc.subject	Approximations
dc.subject	Spectroscopy computing
dc.title	Improved multiexponential transient spectroscopy by iterative deconvolution
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	The analysis of multiexponential decays is challenging because of their complex nature. When analyzing these signals, not only the parameters, but also the orders of the models, have to be estimated. We present an improved spectroscopic technique specially suited for this purpose. The proposed algorithm combines an iterative linear filter with an iterative deconvolution method. A thorough analysis of the noise effect is presented. The performance is tested with synthetic and experimental data.

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