Publications related to Affine Models

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Tracking vocal tract formant frequencies (

f_p

) and estimating the fundamental frequency (

f_0

) are two tracking problems that have been tackled in many speech processing works, often independently, with applications to articulatory parameters estimation ...

Institute of Electrical and Electronics Engineers2013

Geostatistics of extremes

Anthony Christopher Davison

We describe a prototype approach to flexible modelling for maxima observed at sites in a spatial domain, based on fitting of max-stable processes derived from underlying Gaussian random fields. The models we propose have generalised extreme-value marginal ...

2012

A diffusion LMS strategy for parameter estimation in noisy regressor applications

Ali H. Sayed

We study distributed least-mean square (LMS) estimation problems over adaptive networks, where nodes cooperatively work to estimate and track common parameters of an unknown system. We consider a scenario where the input and output response signals of the ...

2012

Extent-based incremental identification of reaction systems using concentration and calorimetric measurements

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan, Nirav Pravinbhai Bhatt

Extent-based Incremental Model Identification (IMI) uses the concept of extent of reaction and the integral method of parameter estimation to identify reaction kinetics from transient concentration measurements. This study proposes to incorporate calorimet ...

Elsevier2012

Extent-based incremental identification of reaction systems using concentration and calorimetric measurements

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Extent-based incremental identification uses the concept of extents and the integral method of parameter estimation to identify reaction kinetics from concentration measurements. The approach is rather general and can be applied to open both homogeneous an ...

Elsevier Science Sa2012

A Parameter Estimation Method for Fuel Cell Diagnostics

Jan Van Herle, Stefan Diethelm, Arata Nakajo, Leonidas Tsikonis

Researchers and developers typically use I-V curves (current vs. potential) as a means to demonstrate good data fitting of a model under experimental validation. Despite the popularity of this method, assessment of the results can be intuitive rather than ...

2011

Identification of the elastic and damping properties in sandwich structures with a low core-to-skin stiffness ratio

Thomas Gmür, Alain Schorderet, Marco Matter, Joël Cugnoni

A mixed numerical-experimental identification procedure for estimating the storage and loss properties in sandwich structures with a soft core is developed The proposed method uses at the experimental level a precise measurement setup with an electro-dynam ...

2011

Approaches on the Thermal Management and Parameter Estimation of Solid Oxide Fuel Cells and their Systems

Leonidas Tsikonis

Solid Oxide Fuel Cells (SOFCs) are electrochemical devices that convert chemical energy from fuel directly into electrical and thermal energy. They present high electrical efficiency and because of this feature they are considered to be an important power ...

EPFL2011

A generic calibration framework for joint estimation of car following models using microscopic data

Microscopic simulation models have become widely applied tools in traffic engineering. Nevertheless, parameter identification of these models remains a difficult task. This is for one caused by the fact that parameters are generally not directly observable ...

2010

Reduced basis approximation and a posteriori error estimation for parametrized parabolic PDEs; Application to real-time Bayesian parameter estimation

Gianluigi Rozza

In this paper we consider reduced basis approximation and a posteriori error estimation for linear functional outputs of affinely parametrized linear and non-linear parabolic partial differential equations. The essential ingredients are Galerkin projection ...

John Wiley & Sons2010

Affine Models

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Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Geostatistics of extremes

A diffusion LMS strategy for parameter estimation in noisy regressor applications

Extent-based incremental identification of reaction systems using concentration and calorimetric measurements

Extent-based incremental identification of reaction systems using concentration and calorimetric measurements

A Parameter Estimation Method for Fuel Cell Diagnostics

Identification of the elastic and damping properties in sandwich structures with a low core-to-skin stiffness ratio

Approaches on the Thermal Management and Parameter Estimation of Solid Oxide Fuel Cells and their Systems

A generic calibration framework for joint estimation of car following models using microscopic data

Reduced basis approximation and a posteriori error estimation for parametrized parabolic PDEs; Application to real-time Bayesian parameter estimation

Extent-based incremental identification of reaction systems using concentration and calorimetric measurements

A generic calibration framework for joint estimation of car following models using microscopic data

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Geostatistics of extremes

Identification of the elastic and damping properties in sandwich structures with a low core-to-skin stiffness ratio

A diffusion LMS strategy for parameter estimation in noisy regressor applications

Approaches on the Thermal Management and Parameter Estimation of Solid Oxide Fuel Cells and their Systems

Extent-based incremental identification of reaction systems using concentration and calorimetric measurements

A Parameter Estimation Method for Fuel Cell Diagnostics

Reduced basis approximation and a posteriori error estimation for parametrized parabolic PDEs; Application to real-time Bayesian parameter estimation