# Publications

## Bias and covariance of the least squares estimate in a structured errors-in-variables problem Vrije Universiteit Brussel

## Input parameters estimation from time-varying measurements Vrije Universiteit Brussel

## A framework for high-resolution frequency response measurement and parameter estimation in microscale impedance applications Vrije Universiteit Brussel

## On the behavior of autonomous Wiener systems Vrije Universiteit Brussel

Wiener systems are nonlinear dynamical systems, consisting of a linear dynamical system and a static nonlinear system in a series connection. Existing results for analysis and identification of Wiener systems assume zero initial conditions. In this paper, we consider the response of a Wiener system to initial conditions only, i.e., we consider autonomous Wiener systems. Our main result is a proof that the behavior of an autonomous Wiener ...

## Software package for mosaic-Hankel structured low-rank approximation Vrije Universiteit Brussel

The package has applications in system identification, machine learning, and computer algebra. The paper gives ...

## Computing common factors of matrix polynomials with applications in system and control theory Vrije Universiteit Brussel

## Subspace methods for multi-channel sum-of-exponentials common dynamics estimation. Vrije Universiteit Brussel

## Compressed Ultrasound Signal Reconstruction using a Low-rank and Joint-sparse Representation Model Vrije Universiteit Brussel

With the introduction of very dense sensor arrays in ultrasound (US) imaging, data transfer rate and data storage can become a bottleneck in US system design. To reduce the amount of sampled channel data, we propose a new approach based on the low-rank and joint-sparse model that allows us to exploit the correlations between different US channels and transmissions. With this method, the minimum number of measurements at each channel can be ...