36 citations · 108 across the 16 of their papers we have counts for
18 papers
In-sector Compressive Beam Alignment for MmWave and THz Radios
Hamed Masoumi, Michel Verhaegen, Nitin Jonathan Myers
Beam alignment is key in enabling millimeter wave and terahertz radios to achieve their capacity. Due to the use of large arrays in these systems, the common exhaustive beam scanni…
Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation
Hamed Masoumi, Nitin Jonathan Myers, Geert Leus +2
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…
Nonuniform Defocus Removal for Image Classification
Nguyen Hieu Thao, Oleg Soloviev, Jacques Noom +1
We propose and study the single-frame anisoplanatic deconvolution problem associated with image classification using machine learning algorithms, named the nonuniform defocus remov…
Blind multi-frame deconvolution for the correction of space-variant blur in images
Wouter van de Ketterij, Oleg Soloviev, Michel Verhaegen
This paper demonstrates a practical method that can correct spatial varying blur from a set of images of the same object. The algorithm jointly estimates the object and local point…
Shack-Hartmann sensor as an imaging system with a phase diversity
Oleg Soloviev, Hieu Thao Nguyen, Vitalii Bezzubik +3
Conventional methods of wavefront reconstruction from the raw data of the Shack-Hartmann sensor use the focal spot shifts and discard the high-frequency information about the wavef…
Convex combination of alternating projection and Douglas-Rachford operators for phase retrieval
Nguyen Hieu Thao, Oleg Soloviev, Michel Verhaegen
We present the convergence analysis of convex combination of the alternating projection and Douglas-Rachford operators for solving the phase retrieval problem. New convergence crit…
Some new characterizations of intrinsic transversality in Hilbert spaces
Nguyen Hieu Thao, Hoa Thi Bui, Nguyen Duy Cuong +1
Motivated by a number of research questions concerning transversality-type properties of pairs of sets recently raised by Ioffe and Kruger, this paper reports several new character…
Blind single-frame deconvolution by tangential iterative projections (TIP)
Dean Wilding, Oleg Soloviev, Paolo Pozzi +3
Deconvolution serves as a computational means of removing the effect of optical aberrations from recorded images and is employed in many technical and scientific fields of study. I…
Anisoplanatic adaptive optics in parallelized laser scanningmicroscopy
Paolo Pozzi, Carlas Smith, Dean Wilding +4
Inhomogeneities in the refractive index of a biological sample can introduce phase aberrationsin microscopy systems, severely impairing the quality of images. Adaptive optics can b…
Phase retrieval with sparse phase constraint
Hieu Thao Nguyen, D. Russell Luke, Oleg Soloviev +1
For the first time, this paper investigates the phase retrieval problem with the assumption that the phase (of the complex signal) is sparse in contrast to the sparsity assumption…
Solving large-scale general phase retrieval problems via a sequence of convex relaxations
Reinier Doelman, H. Thao Nguyen, Michel Verhaegen
We present a convex relaxation-based algorithm for large-scale general phase retrieval problems. General phase retrieval problems include i.a. the estimation of the phase of the op…
Fault Estimation Filter Design with Guaranteed Stability Using Markov Parameters
Yiming Wan, Tamas Keviczky, Michel Verhaegen
For additive actuator and sensor faults, we propose a systematic method to design a state-space fault estimation filter directly from Markov parameters identified from fault-free d…
QUARKS: Identification of large-scale Kronecker Vector-AutoRegressive models
Baptiste Sinquin, Michel Verhaegen
In this paper we propose a Kronecker-based modeling for identifying the spatial-temporal dynamics of large sensor arrays. The class of Kronecker networks is defined for which we fo…
Robust Air Data Sensor Fault Diagnosis With Enhanced Fault Sensitivity Using Moving Horizon Estimation
Yiming Wan, Tamas Keviczky, Michel Verhaegen
This paper investigates robust fault diagnosis of multiple air data sensor faults in the presence of winds. The trade-off between robustness to winds and sensitivity to faults is c…
Direct identification of fault estimation filter for sensor faults
Yiming Wan, Tamas Keviczky, Michel Verhaegen
We propose a systematic method to directly identify a sensor fault estimation filter from plant input/output data collected under fault-free condition. This problem is challenging,…
Focal-plane wavefront sensing with high-order adaptive optics systems
Visa Korkiakoski, Christoph U. Keller, Niek Doelman +3
We investigate methods to calibrate the non-common path aberrations at an adaptive optics system having a wavefront-correcting device working at an extremely high resolution (large…
Fast & Furious focal-plane wavefront sensing
Visa Korkiakoski, Christoph U. Keller, Niek Doelman +3
We present two complementary algorithms suitable for using focal-plane measurements to control a wavefront corrector with an extremely high spatial resolution. The algorithms use l…
Extremely fast focal-plane wavefront sensing for extreme adaptive optics
Christoph U. Keller, Visa Korkiakoski, Niek Doelman +3
We present a promising approach to the extremely fast sensing and correction of small wavefront errors in adaptive optics systems. As our algorithm's computational complexity is ro…