5 papers
Heart Artifact Removal in Electrohysterography Measurements Using Algebraic Differentiators
Amine Othmane, Maria Camila Bustos Vivas, Johannes Steuer +1
Electrohysterography (EHG) enables non-invasive monitoring of uterine contractions but can be contaminated by electrocardiogram (ECG) artifacts. This work presents an ECG removal m…
A data-based image representation for continuous-time LTI systems
Amine Othmane, Philipp Schmitz, Karl Worthmann +1
We derive a numerically stable method to compute an image representation of an unknown linear system only from data, leveraging a continuous-time version of Willems et al.'s fundam…
Optimality-Informed Neural Networks for Solving Parametric Optimization Problems
Matthias K. Hoffmann, Amine Othmane, Kathrin Flaßkamp
Many engineering tasks require solving families of nonlinear constrained optimization problems, parametrized in setting-specific variables. This is computationally demanding, parti…
Neural network-enhanced integrators for simulating ordinary differential equations
Amine Othmane, Kathrin Flaßkamp
Numerous applications necessitate the computation of numerical solutions to differential equations across a wide range of initial conditions and system parameters, which feeds the…
AlgDiff: An open source toolbox for the design, analysis and discretisation of algebraic differentiators
Amine Othmane, Joachim Rudolph
Algebraic differentiators have attracted much interest in recent years. Their simple implementation as classical finite impulse response digital filters and systematic tuning guide…