Universitat de Barcelona
2009-06-18T08:28:33Z
2009-06-18T08:28:33Z
2001
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.
Artículo
Versión publicada
Inglés
Espectroscòpia electrònica; Mínims quadrats; Gaussian noise; Laplace transforms; Curve fitting; Deconvolution; Deep level transient spectroscopy; Discrete time filters; Exponential distribution; Iterative methods; Least squares; Approximations; Spectroscopy computing
IEEE
Reproducció del document publicat a http://dx.doi.org/10.1109/19.930453
IEEE Transactions on Instrumentation and Measurement, 2001, vol. 50, núm. 3, p. 774-780.
http://dx.doi.org/10.1109/19.930453
(c) IEEE, 2001
