Publicaties
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Pose estimation for visible light systems using a quadrature angular diversity aperture receiver Universiteit Gent
The quadrature angular diversity aperture (QADA) receiver, consisting of a quadrant photodiode (QPD) and an aperture placed above the QPD, has been investigated for pose estimation for visible light systems. Current work on pose estimation for the QADA receiver uses classical camera sensor algorithms well known in computer vision. To this end, however, the light spot center first has to be obtained based on the RSS. However, this is less ...
Triangular differential quadrature method in bending analysis of triangular symmetric laminated plates Universiteit Gent
Efficient blur estimation using multi-scale quadrature filters Universiteit Gent
A one-path subsampling quadrature receiver based on a RD modulator with distributed resonators Universiteit Gent
Simultaneous Gaussian quadrature for Angelesco systems KU Leuven
© 2016 Universidad de Jaén. We investigate simultaneous Gaussian quadrature for two integrals of the same function f but on two disjoint intervals. The quadrature nodes are zeros of a type II multiple orthogonal polynomial for an Angelesco system. We recall some known results for the quadrature nodes and the quadrature weights and prove some new results about the convergence of the quadrature formulas. Furthermore we give some estimates of the ...
On the computation of symmetric Szegő-type quadrature formulas KU Leuven
By z = exp(iθ) and x = cos θ, one may relate x ∈ I=(-1,1], with θ ∈ (-π,π] and a point z on the complex unit circle T. Hence there is a connection between the integrals of 2π-periodic functions, integrals of functions over I and over T. The well known Gauss quadratures approximate the integrals over I and their circle counterparts are the Szegő quadratures. When none, one or both endpoints of I are added to the usual Gauss nodes, one obtains the ...
Quadrature methods for bayesian optimal design of experiments with nonnormal prior distributions Universiteit Antwerpen KU Leuven
Many optimal experimental designs depend on one or more unknown model parameters. In such cases, it is common to use Bayesian optimal design procedures to seek designs that perform well over an entire prior distribution of the unknown model parameter(s). Generally, Bayesian optimal design procedures are viewed as computationally intensive. This is because they require numerical integration techniques to approximate the Bayesian optimality ...
Matrix methods for quadrature formulas on the unit circle. A survey KU Leuven
© 2014 Elsevier B.V. All rights reserved. In this paper we give a survey of some results concerning the computation of quadrature formulas on the unit circle. Like nodes and weights of Gauss quadrature formulas (for the estimation of integrals with respect to measures on the real line) can be computed from the eigenvalue decomposition of the Jacobi matrix, Szego{combining double acute accent} quadrature formulas (for the approximation of ...