Ardelio Galletti

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High quality Electrocardiogram (ECG) data is very important because this signal is generally used for the analysis of heart diseases. Wearable sensors are widely adopted for physical activity monitoring and for the provision of healthcare services, but noise always degrades the quality of these signals. In this paper, we propose a novel numerical scheme for(More)
Computational kernel of the three-dimensional variational data assimilation (3D-Var) problem is a linear system, generally solved by means of an iterative method. The most costly part of each iterative step is a matrix-vector product with a very large covariance matrix having Gaussian correlation structure. This operation may be interpreted as a Gaussian(More)
In this paper we describe a parallel implicit method based on radial basis functions (RBF) for surface reconstruction. Practical applicability of RBF methods is hindered by their high computational demand, that requires the solution of linear systems of size equal to the number of data points. The implementation of our method relies on parallel scientific(More)
Recursive Filters (RFs) are a well known way to approximate the Gaussian convolution and are intensively used in several research fields. When applied to signals with support in a finite domain, RFs can generate distortions and artifacts, mostly localized at the boundaries of the computed solution. To deal with this issue, heuristic and theoretical end(More)
In this paper, starting from a real case of an art exhibit, we propose a mathematical model to simulate social network interactions of a visitor that shares his experience on a social network. The Integrate & Fire (I&F) model is used to reproduce the interest of spectators in a cultural heritage community. In our approach, visitor is modelled as a(More)