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A comparative study of subspace-based methods for 2-D nuclear magnetic resona...
One of the major challenges is using subspace-based approaches for the determination of the parameters of one- or multidimensional signals is their practical... -
Interval observer design based on nonlinear hybridization and practical stabi...
International audience -
Maximum Likelihood BSC Parameter Estimation for the Slepian-Wolf Problem
International audience -
Identifiability of systems of semi-discretized partial differential equations...
Before estimating the parameters appearing in a linear or non-linear, controlled or uncontrolled, dynamical system, it is necessary to study the unicity of the... -
On Algebraic Approach for MSD Parametric Estimation
This article address the identification problem of the natural frequency and the damping ratio of a second order continuous system where the input is a sinusoidal signal. An... -
Possibility distributions: A unified representation of usual direct probabili...
International audience -
Possibility distribution: a unified representation for parameter estimation
International audience -
Tumor growth model : Parameter estimation and model dedicated to gliomas
This thesis deals with mathematical modeling of tumor growth. Firstly, we present a parameter estimation method. More precisely, it consists in recovering the position... -
Asymptotic optimality of the Bayes estimator on Differentiable in Quadratic M...
This paper deals with the study of the Bayes estimator's asymptotic properties on Differentiable in Quadratic Mean (DQM) models in the case of independent and... -
3D morphological analysis and modeling of random fiber networks: applied on g...
Thèse en co-tutelle : école nationale supérieure des mines de Paris, France et Technische Universität Kaiserlautern, Deutschland -
Estimation of the Ising field parameter thanks to the exact partition function
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Estimation of the Ising field parameter from incomplete and noisy data
International audience -
Detection and Segmentation of FMCW Radar Signals based on the Chirplet Transform
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Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals
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Algorithms for handling arbitrary lineshape distortions in Magnetic Resonance...
Magnetic Resonance Spectroscopy (MRS) and Spectroscopic Imaging (MRSI) play an emerging role in clinical assessment, providing in vivo estimation of disease markers... -
saemix, an R version of the SAEM algorithm for parameter estimation in nonlin...
saemix, an R version of the SAEM algorithm for parameter estimation in nonlinear mixed effect models -
Refinement and Coarsening Indicators for Adaptive Parameterization: Applicati...
When estimating hydraulic transmissivity the question of parameterization is of great importance. The transmissivity is assumed to be a piecewise constant space... -
The Output Least Squares Identifiability of the Diffusion Coefficient from an...
Output least squares identifiability for the diffusion coefficient in an elliptic equation in dimension two is analyzed. This guarantees Lipschitz stability of the... -
Least-Squares, Sentinels and Substractive Optimally Localized Average
We present with unified notations three approaches to linear parameter estimation: least-squares, sentinels, and Substrative Optimally Localized Average (SOLA). It...
