Nevanlinna-Herglotz functions in the study of poroelastic/porous materials
CIRM Workshop "Herglotz-Nevanlinna functions and their applications to dispersive systems and composite materials", Luminy, France
Miao-Jung Yvonne Ou
Multidimensional Exponential Analysis: Theory and Applications
Department of Computer Science, Universiteit Antwerpen, Belgium
Ferre Knaepkens
Exponentials in radio astronomical data processing
ASTRON, Dwingeloo, The Netherlands
Stefan J. Wijnholds
Exponential analysis empowering innovation
ASTRON, Dwingeloo, The Netherlands
Annie Cuyt
A Nevanlinna-Stietjes function approach for treating the memory term in the context of the time-domain linear poroelastic wave equations"
Applied Mathematics and Computation Seminar, Oregon State University, Oregon, USA
Miao-Jung Yvonne Ou
Reconstruction of Layers in Optical Coherence Tomography Images
Minisymposium "Advances in Optimization for Image Processing: New Applications, Algorithms and Theory”, SIAM Conference on Imaging Science (IS22), Berlin, Germany (online)
Gerlind Plonka-Hoch
Exponential Analysis in Image Processing
Minisymposium "Recovering Algebraic Structures in Imaging & Signal Processing", SIAM Conference on Imaging Science (IS22), online
Wen-shin Lee
From ESPRIT to ESPIRA: Estimation of signal parameters by iterative rational approximation
Rhein-Ruhr Workshop, Bestwig, Germany
Gerlind Plonka-Hoch
Multidimensional exponential analysis: feasible at last
South African Mathematical Society (SAMS), virtual online meeting
Annie Cuyt
From ESPRIT to ESPIRA: Estimation of signal parameters by iterative rational approximation
Workshop on the Intersections of Computation and Optimisations, Canberra, Australia (online)
Gerlind Plonka-Hoch
From ESPRIT to ESPIRA: Estimation of signal parameters by iterative rational approximation
Conference on Numerical Methods and Scientific Computing, Centre International de Rencontres Mathématiques (CIRM), Luminy, France
Gerlind Plonka-Hoch
Multidimensional exponential analysis: feasible at last
Conference on Numerical Methods and Scientific Computing, Centre International de Rencontres Mathématiques (CIRM), Luminy, France
Annie Cuyt
Exponential analysis: from de Prony to Froissart and beyond
Contributions to Some Validated Exponential Analysis Applications
Department of Computer Science, Universiteit Antwerpen, Belgium
Yuan Hou
Sparse Interpolation: from de Prony to Froissart and beyond
The Hybrid Symbolic-Numeric Computation Special Session, the 26th International Conference on Applications of Computer Algebra (ACA 2021), online
Annie Cuyt
Sparse Interpolation: design sparse antenna arrays for estimating directions of arrival signals
The Hybrid Symbolic-Numeric Computation Special Session, the 26th International Conference on Applications of Computer Algebra (ACA 2021), online
Wen-shin Lee
Exponential analysis in Computational Science and Engineering
University of Stirling, Division of Computing Science and Mathematics
Multi-exponential analysis might sound remote, but it touches our lives in many surprising ways, even if most people are unaware of just how important it is.
Validated exponential analysis in one and higher dimensions
ICIAM 2019, Valencia, Spain
Annie Cuyt
Multidimensional superresolution in sonar and radar imaging
SIAM AG 2019, Bern, Switzerland
Annie Cuyt
On the use of exponential analysis in Science and Industry
National Taiwan Normal University, Taipei, Taiwan
Min-nan Tsai
Interplay between computational mathematics, sciences and other branches of mathematics
University of Stirling, Division of Computing Science and Mathematics
The talk will start with a brief introduction of US NSF's 10 Big Ideas and give an overview of the recent trend of computational mathematics in the US.
A scale and shift paradigm for sparse interpolation in one and more dimensions
CUNY graduate center(poster session), New York, USA
Annie Cuyt
Multidimensional superresolution in science and industry
Curves and surfaces, Arcachon, France
Annie Cuyt
Low-rank updates of matrix functions
Georg-August-Universität Göttingen, Institute for Numerical and Applied Mathematics
We consider the task of updating a matrix function f(A) when the matrix A ∈ Cnxn is subject to a low-rank modification. In other words, we aim at approximating f(A+D)-f(A) for a matrix D of rank k ≪ n.
Working with rational functions in a numeric environment - some contributions
Georg-August-Universität Göttingen, Institute for Numerical and Applied Mathematics
Rational functions like for instance Padé approximants play an important role in signal processing, sparse interpolation and exponential analysis. They have good theoretical properties in approximation and modeling.
How sub-sampling leads to more robustness and higher resolution in digital signal processing
Department of Mathematical Sciences, University of Delaware
Wen-shin Lee
A generalized Prony method for sparse approximation
Department of Mathematics and Computer Science, Universiteit Antwerpen, Belgium
We derive a new generalization of Prony's method to reconstruct M-sparse expansions of (generalized) eigenfunctions of linear operators from only O(M) suitable values in a deterministic way.
Sparse wavelet approximation of signals and images
Dolomites Research Week on Approximation (DRWA14)
Within the last time, various adaptive methods for signal and image approximation have been suggested. Instead of choosing a priori a basis or a frame to approximate an image, one tries to adapt the approximation scheme to the image geometry.
A crucial problem in data analysis is to construct efficient low-level representations of mathematical objects from discrete signal data while preserving characteristic properties of the target object.
International Conference on Electromagnetics in advanced applications (ICEAA17): Session "Surrogate modeling and optimization of devices in electromagnetics"