Marco Colás, SantiagoPalacín Roca, JordiSamitier i Martí, Josep2009-06-182009-06-1820010018-9456https://hdl.handle.net/2445/8723The 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.7 p.application/pdfeng(c) IEEE, 2001Espectroscòpia electrònicaMínims quadratsGaussian noiseLaplace transformsCurve fittingDeconvolutionDeep level transient spectroscopyDiscrete time filtersExponential distributionIterative methodsLeast squaresApproximationsSpectroscopy computinginfo:eu-repo/semantics/article176004info:eu-repo/semantics/openAccess