Publications related to Parameter estimation in the presence of bounded modeling errors

On-the-Fly Audio Source Separation-A Novel User-Friendly Framework

This paper addresses the challenging problem of single-channel audio source separation. We introduce a novel userguided framework where source models that govern the separation process are learned on-the-fly from audio examples retrieved online. The user o ...

2017

Discrete-continuous maximum likelihood for the estimation of nested logit models

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Virginie Janine Camille Lurkin, Anna Fernández Antolín

In this paper we aim at integrating the selection of a nesting structure to the maximum likelihood framework of the parameter estimation. Given a finite set of nesting structures, the traditional approach is to estimate the models corresponding to each of ...

2017

Large Scale Dynamic Models of Metabolism as a Tool for Analysis and Design of Metabolic Engineering and Synthetic Biology Strategies

Vassily Hatzimanikatis, Ljubisa Miskovic, Georgios Fengos

Large-scale dynamic models of metabolism remain an overarching ambition of efforts that aim to analyze and explain complex behavior of living entities. However, intrinsic nonlinearity of dynamics of living organisms and structural and quantitative uncertai ...

2016

Experimental Validation of the Wing-Aileron-Tab Combination Applied to an Actively Controlled Bridge Section Model

Alcherio Martinoli, Klara Maria Boberg, Glauco Feltrin

In this work we investigate the applicability of the wing-aileron-tab model for a bridge section model being actively controlled with leading and trailing edge flaps. The structural and aerodynamic model parameters have been extracted experimentally from a ...

2015

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

Michaël Unser, Ulugbek Kamilov

We consider the estimation of an independent and identically distributed (i.i.d.) (possibly non-Gaussian) vector x is an element of R-n from measurements y is an element of R-m obtained by a general cascade model consisting of a known linear transform foll ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Parameter and uncertainty estimation for mechanistic, spatially explicit epidemiological models

Andrea Rinaldo, Enrico Bertuzzo, Bettina Schaefli, Lorenzo Mari, Flavio Finger

Epidemiological models can be a crucially important tool for decision-making during disease outbreaks. The range of possible applications spans from real-time forecasting and allocation of health-care resources to testing alterna- tive intervention mechani ...

2014

Incremental Model Identification of Fluid-Fluid Reaction Systems – Dynamic Accumulation and Reactions in the Diffusion Layer

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

The identification of kinetic models is an important step for the monitoring, control and optimization of industrial processes. This is particularly the case for highly competitive business sectors such as chemical and pharmaceutical industries, where the ...

2013

Diffusion LMS strategies for parameter estimation over fading wireless channels

Ali H. Sayed

We propose a modified diffusion strategy for parameter estimation in sensor networks where nodes exchange information over fading wireless channels. We show that the effect of fading can be mitigated by incorporating local equalization coefficients into th ...

IEEE2013

Phase estimation using a state-space approach based method

Pramod Rastogi

The paper demonstrates a phase estimation method in fringe analysis. The proposed method relies on local polynomial phase approximation and subsequent state-space formulation. The polynomial approximation of phase transforms phase extraction into a paramet ...

Elsevier2013

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

Jean-Philippe Thiran

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

Parameter estimation in the presence of bounded modeling errors

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On-the-Fly Audio Source Separation-A Novel User-Friendly Framework

Discrete-continuous maximum likelihood for the estimation of nested logit models

Large Scale Dynamic Models of Metabolism as a Tool for Analysis and Design of Metabolic Engineering and Synthetic Biology Strategies

Experimental Validation of the Wing-Aileron-Tab Combination Applied to an Actively Controlled Bridge Section Model

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

Parameter and uncertainty estimation for mechanistic, spatially explicit epidemiological models

Incremental Model Identification of Fluid-Fluid Reaction Systems – Dynamic Accumulation and Reactions in the Diffusion Layer

Diffusion LMS strategies for parameter estimation over fading wireless channels

Phase estimation using a state-space approach based method

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

Experimental Validation of the Wing-Aileron-Tab Combination Applied to an Actively Controlled Bridge Section Model

On-the-Fly Audio Source Separation-A Novel User-Friendly Framework

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

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

Incremental Model Identification of Fluid-Fluid Reaction Systems – Dynamic Accumulation and Reactions in the Diffusion Layer

Parameter and uncertainty estimation for mechanistic, spatially explicit epidemiological models

Large Scale Dynamic Models of Metabolism as a Tool for Analysis and Design of Metabolic Engineering and Synthetic Biology Strategies

Discrete-continuous maximum likelihood for the estimation of nested logit models

Diffusion LMS strategies for parameter estimation over fading wireless channels

Phase estimation using a state-space approach based method