37 citations · 146 across the 15 of their papers we have counts for
5 papers · 1 filter
The role of spectral complexity in connectivity estimation
Elisabetta Vallarino, Michele Piana, Alberto Sorrentino +1
The study of functional connectivity from magnetoecenphalographic (MEG) data consists in quantifying the statistical dependencies among time series describing the activity of diffe…
On the two-step estimation of the cross--power spectrum for dynamical inverse problems
Elisabetta Vallarino, Sara Sommariva, Michele Piana +1
We consider the problem of reconstructing the cross--power spectrum of an unobservable multivariate stochatic process from indirect measurements of a second multivariate stochastic…
Iterative algorithms for a non-linear inverse problem in atmospheric lidar
Giulia Denevi, Sara Garbarino, Alberto Sorrentino
We consider the inverse problem of retrieving aerosol extinction coefficients from Raman lidar measurements. In this problem the unknown and the data are related through the expone…
Expectation Maximization and the retrieval of the atmospheric extinction coefficients by inversion of Raman lidar data
Sara Garbarino, Alberto Sorrentino, Anna Maria Massone +5
We consider the problem of retrieving the aerosol extinction coefficient from Raman lidar measurements. This is an ill--posed inverse problem that needs regularization, and we prop…
Bayesian smoothing of dipoles in Magneto-/Electro-encephalography
Valentina Vivaldi, Alberto Sorrentino
We describe a novel method for dynamic estimation of multi-dipole states from Magneto/Electro-encephalography (M/EEG) time series. The new approach builds on the recent development…