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, J. Schoukens) 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 (national or European funding) are at stake.

Using the Best Linear Approximation in circuit design

The need for faster and more efficient electronic circuits pushes the devices more and more into their non-linear operating regions. The amount of non-linear distortion generated by a circuit becomes an increasingly important part of the circuit’s specifications. Most of the designers of analog...

Macro models for the Design of Microwave Filters

The design of microwave narrow-band bandpass filters often depends on brute-force electromagnetic (EM) optimization. These optimization procedures are numerically expensive, which makes the design process very time-consuming. Moreover the EM optimizer does not provide any physical insight in the...

Circular Motion Analysis of Time-Varying Bioimpedance

This project presents a step forward towards the analysis of a linear periodically time-varying (PTV) bioimpedance ZPTV(jωt) , which is an important subclass of a linear time-varying (LTV) bioimpedance. Similarly to the Fourier coefficients of a periodic signal, a PTV impedance can be decomposed...

Development of user-friendly system identification techniques

The goal of this project is to develop semi-automatic identification methods that provide a stepping-stone to identify massive multiple-input multiple-output (MIMO) systems, i.e. systems with a very large amount of in- and outputs. As manual tuning becomes intractable to identify such vast...

Modal Identification Using OMA Techniques: Nonlinearity Effect

This project is focused on an assessment of the state of the art of operational modal analysis (OMA) methodologies in estimating modal parameters from output responses of nonlinear structures. By means of the Volterra series, the nonlinear structure excited by random excitation is modeled as the...

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