90 citations · 263 across the 18 of their papers we have counts for
18 papers
Acoustic Full Waveform Inversion with Hamiltonian Monte Carlo Method
Paulo D. S. de Lima, Gilberto Corso, Mauro S. Ferreira +1
Full-Waveform Inversion (FWI) is a high-resolution technique used in geophysics to evaluate the physical parameters and construct subsurface models in a noisy and limited data scen…
Generalized statistics: applications to data inverse problems with outlier-resistance
João V. T. de Lima, Sérgio Luiz E. F. da Silva, João M. de Araújo +2
The conventional approach to data-driven inversion framework is based on Gaussian statistics that presents serious difficulties, especially in the presence of outliers in the measu…
An outlier-resistant -generalized approach for robust physical parameter estimation
Sérgio Luiz E. F. da Silva, R. Silva, Gustavo Z. dos Santos Lima +2
In this work we propose a robust methodology to mitigate the undesirable effects caused by outliers to generate reliable physical models. In this way, we formulate the inverse prob…
Parameter free determination of optimum time delay
Thiago Lima Prado, Vandertone Santos Machado, Gilberto Corso +2
We show that the same maximum entropy principle applied to recurrence microstates configures a new way to properly compute the time delay necessary to correctly sample a data set.…
Parameter-free quantification of stochastic and chaotic signals
Sergio Roberto Lopes, Thiago de Lima Prado, Gilberto Corso +2
Recurrence entropy is a novel time series complexity quantifier based on recurrence microstates. Here we show that is a \textit{parameter-free} qu…
A novel entropy recurrence quantification analysis
G. Corso, T. L. Prado, G. Z. dos S. Lima +1
The growing study of time series, especially those related to nonlinear systems, has challenged the methodologies to characterize and classify dynamical structures of a signal. Her…