Searched for: author%3A%22Verhaegen%2C+M.H.G.%22
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Noom, J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
We present a novel problem formulation for model-free data-driven fault diagnosis, in which possible faults are diagnosed simultaneously to identifying the linear time-invariant system. This problem is practically relevant for systems whose model cannot be identified reliably prior to diagnosing possible faults, for instance when operating...
journal article 2024
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Masoumi, H. (author), Verhaegen, M.H.G. (author), Myers, N.J. (author)
Orthogonal matching pursuit (OMP) is a widely used greedy algorithm for sparse signal recovery in compressed sensing (CS). Prior work on OMP, however, has only provided reconstruction guarantees under the assumption that the columns of the CS matrix have equal norms, which is unrealistic in many practical CS applications due to hardware...
conference paper 2023
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Noom, J. (author), Smith, C.S. (author), Verbiest, G.J. (author), Katan, A.J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
We propose to use the State Estimation by Sum-of-Norms Regularisation (STATESON-)algorithm for recovering the tip-sample interaction in high-speed tapping mode atomic force microscopy (AFM). This approach enables accurate sample height estimation for each independent cantilever oscillation period, provided that the tip-sample interaction...
journal article 2023
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Noom, J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
Model-based fault diagnosis for dynamical systems is a sophisticated task due to model inaccuracies, measurement noise and many possible fault scenarios. By presenting faults in terms of a dictionary, the latter obstacle is recently addressed using well-known techniques for recovering sparse information (e.g. lasso). However, current state-of...
journal article 2023
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Hung, S. (author), Llobet Rosell, Arnau (author), Jurriens, Daphne (author), Soloviev, O.A. (author), Kapitein, Lukas C. (author), Grußmayer, K.S. (author), Neukomm, Lukas J. (author), Verhaegen, M.H.G. (author), Smith, C.S. (author)
Single-molecule localization microscopy (SMLM) enables the high-resolution visualization of organelle structures and the precise localization of individual proteins. However, the expected resolution is not achieved in tissue as the imaging conditions deteriorate. Sample-induced aberrations distort the point spread function (PSF), and high...
journal article 2022
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Kalisvaart, D. (author), Cnossen, J.P. (author), Hung, S. (author), Stallinga, S. (author), Verhaegen, M.H.G. (author), Smith, C.S. (author)
Modulation enhanced single-molecule localization microscopy (meSMLM) methods improve the localization precision by using patterned illumination to encode additional position information. Iterative meSMLM (imeSMLM) methods iteratively generate prior information on emitter positions, used to locally improve the localization precision during...
journal article 2022
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Soloviev, O.A. (author), Noom, J. (author), Nguyen, Hieu Thao (author), Vdovin, Gleb (author), Verhaegen, M.H.G. (author)
We investigate the general adjustment of projection-based phase retrieval algorithms for use with saturated data. In the phase retrieval problem, model fidelity of experimental data containing a non-zero background level, fixed pattern noise, or overexposure, often presents a serious obstacle for standard algorithms. Recently, it was shown...
conference paper 2022
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Masoumi, H. (author), Myers, N.J. (author), Leus, G.J.T. (author), Wahls, S. (author), Verhaegen, M.H.G. (author)
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. To address this problem, we develop an in-sector CS-based mmWave channel estimation technique that focuses energy on a sector in the angle domain....
conference paper 2022
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van Wingerden, J.W. (author), Mulders, S.P. (author), Dinkla, R.T.O. (author), Oomen, T.A.E. (author), Verhaegen, M.H.G. (author)
Direct data-driven control has attracted substantial interest since it enables optimization-based control without the need for a parametric model. This paper presents a new Instrumental Variable (IV) approach to Data-enabled Predictive Control (DeePC) that results in favorable noise mitigation properties, and demonstrates the direct equivalence...
conference paper 2022
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Noom, J. (author), Soloviev, O.A. (author), Smith, C.S. (author), Nguyen, Hieu Thao (author), Verhaegen, M.H.G. (author)
We demonstrate a novel closed-loop input design technique on the detection of particles in an imaging system such as a fluorescence microscope. The probability of misdiagnosis is minimized while constraining the input energy such that for instance phototoxicity is reduced. The key novelty of the closed-loop design is that each next input is...
conference paper 2022
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Noom, J. (author), Soloviev, O.A. (author), Smith, C.S. (author), Verhaegen, M.H.G. (author)
Some applications require high level of image-based classification certainty while keeping the total illumination energy as low as possible. Examples are minimally invasive visual inspection in Industry 4.0, and medical imaging systems such as computed tomography, in which the radiation dose should be kept “as low as is reasonably achievable”...
conference paper 2022
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Qiu, Yue (author), van Gijzen, M.B. (author), van Wingerden, J.W. (author), Verhaegen, M.H.G. (author), Vuik, Cornelis (author)
In this article, we study preconditioning techniques for the control of the Navier–Stokes equation, where the control only acts on a few parts of the domain. Optimization, discretization, and linearization of the control problem results in a generalized linear saddle-point system. The Schur complement for the generalized saddle-point system...
journal article 2021
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Piscaer, P.J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
This paper presents a computationally efficient framework in which a single focal-plane image is used to obtain a high-resolution reconstruction of dynamic aberrations. Assuming small-phase aberrations, a non-linear Kalman filter implementation is developed whose computational complexity scales close to linearly with the number of pixels of...
journal article 2021
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Nguyen, Hieu Thao (author), Soloviev, O.A. (author), Luke, Russell (author), Verhaegen, M.H.G. (author)
We develop for the first time a mathematical framework in which the class of projection algorithms can be applied to high numerical aperture (NA) phase retrieval. Within this framework, we first analyze the basic steps of solving the high-NA phase retrieval problem by projection algorithms and establish the closed forms of all the relevant...
journal article 2021
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Noom, J. (author), Nguyen, Hieu Thao (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
This manuscript presents an improvement of state-of-the-art Closed-Loop Active Model Diagnosis (CLAMD). The proposed method utilizes weighted Bhattacharyya coefficients evaluated at the vertices of the polytopic constraint set to provide a good trade-off between computational efficiency and satisfactory input choice for separation of candidate...
conference paper 2021
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Nguyen, Hieu Thao (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
We present the convergence analysis of convex combination of the alternating projection and Douglas–Rachford operators for solving the phase retrieval problem. New convergence criteria for iterations generated by the algorithm are established by applying various schemes of numerical analysis and exploring both physical and mathematical...
journal article 2021
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Colaço Baptista Cerqueira, P. (author), Piscaer, P.J. (author), Verhaegen, M.H.G. (author)
This paper presents a computationally efficient wavefront aberration prediction framework for data-driven control in large-scale adaptive optics systems. Our novel prediction algorithm splits prediction into two stages: A highresolution and a low-resolution stage. For the former, we exploit sparsity structures in the system matrices in a data...
journal article 2021
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Nguyen, Hieu Thao (author), Bui, Hoa T. (author), Nguyen, Duy Cuong (author), Verhaegen, M.H.G. (author)
Motivated by a number of questions concerning transversality-type properties of pairs of sets recently raised by Ioffe and Kruger, this paper reports several new characterizations of the intrinsic transversality property in Hilbert spaces. New results in terms of normal vectors clarify the picture of intrinsic transversality, its variants and...
journal article 2020
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Agbana, T.E. (author), Nijman, Patrick (author), Hoeboer, M.D.B. (author), van Grootheest, D.N. (author), van Diepen, Angela (author), van Lieshout, Lisette (author), Diehl, J.C. (author), Verhaegen, M.H.G. (author), Vdovin, Gleb (author)
We present a simple method for the diagnosis of urinary schistosomiasis using an in-line lensless holographic microscope combined with flow cytometry technique. Using simple image processing algorithms and binary image classifier, our system provides automated detection of Schistosoma haematobium eggs in infected urine samples. Registered...
conference paper 2020
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Yu, C. (author), Ljung, Lennart (author), Wills, Adrian (author), Verhaegen, M.H.G. (author)
In this paper, a unified identification framework called constrained subspace method for structured state-space models (COSMOS) is presented, where the structure is defined by a user specified linear or polynomial parametrization. The new approach operates directly from the input and output data, which differs from the traditional two-step...
journal article 2020
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