Publications associées à Coefficient

Estimation of multiple phases from a single fringe pattern in digital holographic interferometry

Simultaneous measurement of multidimensional displacements using digital holographic interferometry involves multi-directional illumination of the deformed object and requires the reliable estimation of the resulting multiple interference phase distributio ...

Optical Society of America2012

Implementation of optimal Galerkin and Collocation approximations of PDEs with Random Coefficients

Fabio Nobile, Lorenzo Tamellini

In this work we first focus on the Stochastic Galerkin approximation of the solution u of an elliptic stochastic PDE. We rely on sharp estimates for the decay of the coefficients of the spectral expansion of u on orthogonal polynomials to build a sequence ...

2011

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

-minimisation. The problem can also be seen as factorising a

\ddim \times \nsig

matrix $Y=(y_1 \ldots y_\nsig), , y_n\in \R^\ ...

Institute of Electrical and Electronics Engineers2010

Comparative Analysis of Various Single-tone Frequency Estimation Techniques in High-order Instantaneous Moments Based Phase Estimation Method

Pramod Rastogi, Sai Siva Gorthi

For phase estimation in digital holographic interferometry, a high-order instantaneous moments (HIM) based method was recently developed which relies on piecewise polynomial approximation of phase and subsequent evaluation of the polynomial coefficients us ...

AIP Conf. Proc.2010

Estimation of Phase in Fringe Projection Technique Using High-order Instantaneous Moments Based Method

Pramod Rastogi, Sai Siva Gorthi

For three-dimensional (3D) shape measurement using fringe projection techniques, the information about the 3D shape of an object is encoded in the phase of a recorded fringe pattern. The paper proposes a high-order instantaneous moments based method to est ...

AIP Conf. Proc.2010

Phase estimation in digital holographic interferometry using cubic phase function based method

Pramod Rastogi, Sai Siva Gorthi

The paper introduces a cubic-phase-function based method to estimate interference phase in digital holographic interferometry. The proposed method relies on piecewise polynomial approximation of phase by dividing an arbitrary row/column of the complex reco ...

Taylor & Francis2010

Distributed Sensor Perception via Sparse Representation

Michael Christoph Gastpar

In this paper, sensor network scenarios are considered where the underlying signals of interest exhibit a degree of sparsity, which means that in an appropriate basis, they can be expressed in terms of a small number of nonzero coefficients. Following the ...

2010

Basis Identification from Random Sparse Samples

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

minimisation. The problem is to identify a dictionary

\dico

from a set of training samples

\Y

knowing that

\Y = \dico \X

...

2009

Monitoring of hygrothermal ageing effects in an epoxy resin using FBG sensor: A methodological study

John Botsis, Joël Cugnoni, Dimitrios Karalekas

This study demonstrates the feasibility of using fibre Bragg grating (FBG) sensors to monitor the effects of hygrothermal ageing on the axial strains in a cylindrical epoxy specimen with a centrally located optical glass fibre. A 24 mm long FBG, inscribed ...

Elsevier2009

Recovery of clustered sparse signals from compressive measurements

Volkan Cevher

We introduce a new signal model, called (K,C)-sparse, to capture K-sparse signals in N dimensions whose nonzero coefficients are contained within at most C clusters, with C < K < N. In contrast to the existing work in the sparse approximation and compress ...

2009

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Estimation of multiple phases from a single fringe pattern in digital holographic interferometry

Implementation of optimal Galerkin and Collocation approximations of PDEs with Random Coefficients

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Comparative Analysis of Various Single-tone Frequency Estimation Techniques in High-order Instantaneous Moments Based Phase Estimation Method

Estimation of Phase in Fringe Projection Technique Using High-order Instantaneous Moments Based Method

Phase estimation in digital holographic interferometry using cubic phase function based method

Distributed Sensor Perception via Sparse Representation

Basis Identification from Random Sparse Samples

Monitoring of hygrothermal ageing effects in an epoxy resin using FBG sensor: A methodological study

Recovery of clustered sparse signals from compressive measurements

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Comparative Analysis of Various Single-tone Frequency Estimation Techniques in High-order Instantaneous Moments Based Phase Estimation Method

Estimation of multiple phases from a single fringe pattern in digital holographic interferometry

Implementation of optimal Galerkin and Collocation approximations of PDEs with Random Coefficients

Phase estimation in digital holographic interferometry using cubic phase function based method

Basis Identification from Random Sparse Samples

Distributed Sensor Perception via Sparse Representation

Estimation of Phase in Fringe Projection Technique Using High-order Instantaneous Moments Based Method

Monitoring of hygrothermal ageing effects in an epoxy resin using FBG sensor: A methodological study

Recovery of clustered sparse signals from compressive measurements