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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), 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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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), 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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Piscaer, P.J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)This paper discusses various practical problems arising in the design and simulation of predictive control methods for adaptive optics. Although there has been increased attention towards optimal prediction and control methods for AO systems, they are often tested in simplified simulation environments. The use of advanced AO simulators...conference paper 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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Heemels, Alex (author), Agbana, T.E. (author), Pereira, S.F. (author), Diehl, J.C. (author), Verhaegen, M.H.G. (author), Vdovin, Gleb (author)Fourier Ptychography is a computational imaging technique able to decouple high resolution from wide field of view, bypassing the diffraction limit of the microscope. Since it does not rely on high precision mechanics or fluorescent imaging, it is of practical interest for implementation in low scale devices. Despite its gains, realizing a...conference paper 2020
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Gedon, Daniel (author), Piscaer, P.J. (author), Batselier, K. (author), Smith, C.S. (author), Verhaegen, M.H.G. (author)An extension of the Tensor Network (TN) Kalman filter [2], [3] for large scale LTI systems is presented in this paper. The TN Kalman filter can handle exponentially large state vectors without constructing them explicitly. In order to have efficient algebraic operations, a low TN rank is required. We exploit the possibility to approximate the...conference paper 2019
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Quintavalla, M. (author), Pozzi, P. (author), Verhaegen, M.H.G. (author), Bijlsma, H.K. (author), Verstraete, H.R.G.W. (author), Bonora, S. (author)Adaptive Optics (AO) has revealed as a very promising technique for high-resolution microscopy, where the presence of optical aberrations can easily compromise the image quality. Typical AO systems however, are almost impossible to implement on commercial microscopes. We propose a simple approach by using a Multi-actuator Adaptive Lens (MAL)...conference paper 2018
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Wilding, D. (author), Pozzi, P. (author), Soloviev, O.A. (author), Vdovin, Gleb (author), Verhaegen, M.H.G. (author)In life sciences, interest in the microscopic imaging of increasingly complex three dimensional samples, such as cell spheroids, zebrafish embryos, and in vivo applications in small animals, is growing quickly. Due to the increasing complexity of samples, more and more life scientists are considering the implementation of adaptive optics in...conference paper 2018
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Pozzi, P. (author), Wilding, D. (author), Soloviev, O.A. (author), Vdovin, Gleb (author), Verhaegen, M.H.G. (author)In this work, we present a new confocal laser scanning microscope capable to perform sensorless wavefront optimization in real time. The device is a parallelized laser scanning microscope in which the excitation light is structured in a lattice of spots by a spatial light modulator, while a deformable mirror provides aberration correction and...conference paper 2018
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Wilding, D. (author), Pozzi, P. (author), Soloviev, O.A. (author), Vdovin, Gleb (author), Fiolka, Reto (author), Verhaegen, M.H.G. (author)The light-sheet fluorescence microscopy is an excellent tool for the investigation of large three dimensional microscopy samples at the cellular level, however, the ability to resolve features is strongly affected by the presence of scattering and aberrations. These effects are two fold in light-sheet microscopy, as the illumination path...conference paper 2018
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Yu, C. (author), Ljung, Lennart (author), Verhaegen, M.H.G. (author)Gray-box identification is prevalent in modeling physical and networked systems. However, due to the non-convex nature of the gray-box identification problem, good initial parameter estimates are crucial for a successful application. In this paper, a new identification method is proposed by exploiting the low-rank and structured Hankel matrix...conference paper 2017
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Sinquin, B. (author), Verhaegen, M.H.G. (author)In this paper we address the identification of (2D) spatial-temporal dynamical systems governed by the Vector Auto-Regressive (VAR) form. The coefficient-matrices of the VAR model are parametrized as sums of Kronecker products. When the number of terms in the sum is small compared to the size of the matrix, such a Kronecker representation...conference paper 2017
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Klingspor, M. (author), Hansson, A (author), Löfberg, J. (author), Verhaegen, M.H.G. (author)Input selection is an important and oftentimes difficult challenge in system identification. In order to achieve less complex models, irrelevant inputs should be methodically and correctly discarded before or under the estimation process. In this paper we introduce a novel method of input selection that is carried out as a natural extension in a...conference paper 2017
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Wilding, D. (author), de Iongh, Gijs (author), Soloviev, O.A. (author), Pozzi, P. (author), Vdovin, Gleb (author), Verhaegen, M.H.G. (author)By taking multiple input-output measurements, it is shown how to determine the input to an optical system that corrects unknown phase aberrations without interferometric measurements or online iterative optimization within a couple of seconds. It is shown to work in simulations and experiment. This technique may also be used to acquire the...conference paper 2017
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- Pozzi, P. (author), Quintavalla, M. (author), Verstraete, H.R.G.W. (author), Bijlsma, Hielke (author), Bonora, S. (author), Verhaegen, M.H.G. (author) conference paper 2017