Research at the department ELEC

"ELEC" stands for "Fundamental Electricity and Instrumentation" (in dutch: "Algemene Elektriciteit en Instrumentatie") and the name corresponds with the educational and research tasks and objectives of the department. The main research activity of the department is the development of new measurement techniques using advanced signal processing methods, embedded in an identification framework. There are no formal research groups in the department ELEC. There are 3 research teams that cooperate intensively with each other. Team A: Data driven modeling (Rik Pintelon) Team B: Applied signal processing for engineering, telecommunications and Microwave systems (Gerd Vandersteen, Yves Rolain and Leo Van Biesen) Team C: Structured low-rank approximation (Ivan Markovsky)

Overview Research Topics

The long term objective of the department is the realization of the IMMI project (Interpretation by Measuring, Modelling and Identification), since 1989. Beside this main project, which covers a broad spectrum of several related activities, also some other independent research topics are at stake.

BLA-based Design and Analysis of VCO-based Sigma-Delta Modulators

Nonlinear system theory is involved. The available theoretical frameworks depend on the assumed system properties and the applied signals. An example is the Volterra theory framework which uses a series expansion of the system’s behaviour around an operating point. This operating point can be...

Data driven fast measurements

Measurement techniques have fundamental speed and accuracy limitations. The speed and precision of a measurement device used in monitoring and control tasks determines the quality of the available data, which in turn limits the accuracy of models derived from the data. In this project, we...

Identification of multiple reflections in high frequency structures

Necessity of identifying reflections is not only an interest for engineers working at high frequencies. Engineers from other societies such as geophysics, mine-field detections and civil engineering are also concerned about the reflections. While in these fields mainly identifying the positions...

Decoupling Multivariate Nonlinearities in System Identification

Nonlinear system identification often makes use of coupled multiple-input-multiple-output static nonlinear functions to represent nonlinearities [5, 6]. For the sake of model interpretability and to limit the rapid increase of parameters it is desirable to find a parsimonious description. A...


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