Multi-exponential decaying data are very frequent in applications and a continuous description of this type of data allows the use of mathematical tools for data analysis such as the Laplace Transform (LT). In this work a numerical procedure for the Laplace Transform Inversion (LTI) of multi-exponential decaying data is proposed. It is based on a new fitting model, that is a smoothing exponential-polynomial spline with segments expressed in Bernstein-like bases. A numerical experiment concerning the application of a LTI method applied to our spline model highlights that it is very promising in the LTI of exponential decay data.
A Procedure for Laplace Transform Inversion Based on Smoothing Exponential-Polynomial Splines / Campagna R.; Conti C.; Cuomo S.. - STAMPA. - 11973:(2020), pp. 11-18. (Intervento presentato al convegno 3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019 tenutosi a Crotone (Italia) nel 15-21 giugno 2019) [10.1007/978-3-030-39081-5_2].
A Procedure for Laplace Transform Inversion Based on Smoothing Exponential-Polynomial Splines
Conti C.;
2020
Abstract
Multi-exponential decaying data are very frequent in applications and a continuous description of this type of data allows the use of mathematical tools for data analysis such as the Laplace Transform (LT). In this work a numerical procedure for the Laplace Transform Inversion (LTI) of multi-exponential decaying data is proposed. It is based on a new fitting model, that is a smoothing exponential-polynomial spline with segments expressed in Bernstein-like bases. A numerical experiment concerning the application of a LTI method applied to our spline model highlights that it is very promising in the LTI of exponential decay data.File | Dimensione | Formato | |
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