1 code implementation • 11 Jan 2024 • Jacques Noom, Oleg Soloviev, Carlas Smith, Michel Verhaegen
Stochastic Closed-Loop Active Fault Diagnosis (CLAFD) aims to select the input sequentially in order to improve the discrimination of different models by minimizing the predicted error probability.
no code implementations • 25 Aug 2023 • Hamed Masoumi, Michel Verhaegen, Nitin Jonathan Myers
The essence of our framework lies in the construction of a low-resolution beam codebook to identify the best sector and in the design of the CS matrix for in-sector channel estimation.
no code implementations • 8 Feb 2023 • Hamed Masoumi, Michel Verhaegen, Nitin Jonathan Myers
Orthogonal matching pursuit (OMP) is a widely used greedy algorithm for sparse signal recovery in compressed sensing (CS).
no code implementations • 12 Sep 2022 • Jan-Willem van Wingerden, Sebastiaan Mulders, Rogier Dinkla, Tom Oomen, Michel Verhaegen
Direct data-driven control has attracted substantial interest since it enables optimization-based control without the need for a parametric model.
no code implementations • 23 May 2022 • Hamed Masoumi, Nitin Jonathan Myers, Geert Leus, Sander Wahls, Michel Verhaegen
Fast millimeter wave (mmWave) channel estimation techniques based on compressed sensing (CS) suffer from low signal-to-noise ratio (SNR) in the channel measurements, due to the use of wide beams.
no code implementations • 3 Jun 2021 • Nguyen Hieu Thao, Oleg Soloviev, Jacques Noom, Michel Verhaegen
We propose and study the single-frame anisoplanatic deconvolution problem associated with image classification using machine learning algorithms, named the nonuniform defocus removal (NDR) problem.
no code implementations • 23 Sep 2016 • Baptiste Sinquin, Michel Verhaegen
In this paper we propose a Kronecker-based modeling for identifying the spatial-temporal dynamics of large sensor arrays.
Systems and Control
no code implementations • 1 Apr 2016 • Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen
This recommendation is usually selected by optimizing a given acquisition function.
1 code implementation • 31 Mar 2016 • Laurens Bliek, Hans R. G. W. Verstraete, Michel Verhaegen, Sander Wahls
This paper analyzes DONE, an online optimization algorithm that iteratively minimizes an unknown function based on costly and noisy measurements.
1 code implementation • 29 Jan 2016 • Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen
There has been a growing interest in using non-parametric regression methods like Gaussian Process (GP) regression for system identification.