Publicaties
Scalable models of microwave system responses using sequential sampling on unstructured grids Vrije Universiteit Brussel Universiteit Gent
Sequential Sampling Algorithm for Simultaneous Near-Field Scanning of Amplitude and Phase KU Leuven Universiteit Gent
Tree-based sequential sampling algorithm for scalable macromodeling of high-speed systems Vrije Universiteit Brussel
This paper describes a new sequential sampling algorithm for efficient and accurate scalable macromodeling of parameterized frequency responses of high-speed systems. The proposed algorithm divides the design space into hyper-rectangular cells. A pertinent numerical example validates the capability of the proposed sequential sampling method.
Optimized Sequential Sampling Algorithm for EMI Near-Field Scanning KU Leuven
Practical Implementation of a Sequential Sampling Algorithm for EMI Near-Field Scanning KU Leuven
Year-round measurement of atmospheric volatile organic compounds using sequential sampling in Dronning Maud Land, East-Antarctica Universiteit Gent
Sequential sampling strategy for the modeling of parameterized microwave and RF components Universiteit Gent
Optimization of high-speed electromagnetic systems with accurate parametric macromodels generated using sequential sampling of the design space Vrije Universiteit Brussel
This paper presents a design optimization approach for electromagnetic systems using parametric macromodels. The parametric macro-models are generated using an efficient sequential sampling of the design space of interest which ensures optimal sample selection for a required level of accuracy. The proposed method is validated on a microwave notch filter example for which the parametric macromodel is used in a minimax optimization algorithm so ...