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 ...