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Global and local parameter estimation of a model of the electrical activity o...
In this article we study the problem of estimating the parameters of an electrical model of the heart from a temporal recording of extracellular potentials. The chosen... -
Data analysis challenges for the Einstein Telescope
The Einstein Telescope is a proposed third generation gravitational wave detector that will operate in the region of 1 Hz to a few kHz. As well as the inspiral of... -
Modelling, estimation and control of a coaxial rotor unmanned aerial vehicle
The miniature rotary wing UAVs are now tending to become the new tools of the soldier, with the versatility of missions they can be used. Their main advantage concerns... -
Filtrage par noyaux de convolution itératif
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NEW IDENTIFICATION PROCEDURE FOR CONTINUOUS-TIME RADIO FREQUENCY POWER AMPLIF...
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Optimization of Band Pass Delta Sigma modulators using parameters identification
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Characterization of BandPass Delta Sigma Modulators in Wireless Transceivers ...
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Bandpass delta sigma optimization using parameter identification
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On optimal solution error covariances in variational data assimilation problems
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Parameter estimation in non-linear mixed effects models with SAEM algorithm: ...
This Research Report is now published in the Journal: ESAIM: Mathematical Modelling and Numerical Analysis. DOI: http://dx.doi.org/10.1051/m2an/2013140 and its updated... -
Statistical estimation for reflected skew processes
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Hybrid Lower Bound On The MSE Based On The Barankin And Weiss-Weinstein Bounds
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Towards a simplification of models using regression trees
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Online estimation of EMG signals model based on a renewal process
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Robust Bayesian super-resolution approach via sparsity enforcing a priori for...
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On the Method of Logarithmic Cumulants for Parametric Probability Density Fun...
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Convolution particle filters for parameter estimation in general state-space ...
The state-space modeling of partially observed dynamic systems generally requires estimates of unknown parameters. From a practical point of view, it is relevant in... -
Convolution particle filters for parameter estimation in general state-space ...
The state-space modeling of partially observed dynamic systems generally requires estimates of unknown parameters. From a practical point of view, it is relevant in... -
Reduction of complex models for simulation and estimation Application to card...
This report analyzes and validates possible applications of some model reduction methods for direct simulations, and the solving of inverse problems of parameter...
