A Pre-solved Inverse Laplace Transform Approach for Noised Sampling Data
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This paper presents an approximate analytical formulation for inverting the Laplace transform from experimental data sampled with or without noise. This approximation is pre-solved, making it simple. In practical terms, in some engineering problems, the inverse does not need to be solved or computed numerically, which enhances the accessibility of the proposed formulation. The goal is to provide an easy-to-use analytical tool that would avoid inversion computations using high-performance methods widely used in the literature when the priority is obtaining a quick result.
