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Shep Doeleman

dblp:173/5098 · also Sheperd S. Doeleman · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0002-9031-0904ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 67% Computational photography and imaging · 33%
Computer networks
1 paper
Physical-layer communications · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image reconstruction › regularized reconstruction
bayesian image reconstruction
0.212016
Computational Imaging for VLBI Image Reconstruction · CVPR 2016
Image and video processing
image reconstruction
0.212016
Computational Imaging for VLBI Image Reconstruction · CVPR 2016
Physical-layer communications
radio astronomy
0.112009
The Murchison Widefield Array: Design Overview · Proc. IEEE 2009
Computational science and engineering › astronomy
radio astronomy imaging
0.112016
Computational Imaging for VLBI Image Reconstruction · CVPR 2016

Methods — techniques the papers use, named apart from their topics

very long baseline interferometry · 0.5statistical image model · 0.5bayesian inference · 0.5self-calibration algorithms · 0.2
YearPublicationVenuePosition
2016 Computational Imaging for VLBI Image Reconstruction
abstract
Very long baseline interferometry (VLBI) is a technique for imaging celestial radio emissions by simultaneously observing a source from telescopes distributed across Earth. The challenges in reconstructing images from fine angular resolution VLBI data are immense. The data is extremely sparse and noisy, thus requiring statistical image models such as those designed in the computer vision community. In this paper we present a novel Bayesian approach for VLBI image reconstruction. While other methods often require careful tuning and parameter selection for different types of data, our method (CHIRP) produces good results under different settings such as low SNR or extended emission. The success of our method is demonstrated on realistic synthetic experiments as well as publicly available real data. We present this problem in a way that is accessible to members of the community, and provide a dataset website (vlbiimaging.csail.mit.edu) that facilitates controlled comparisons across algorithms.
Katherine L. Bouman, Michael D. Johnson 0003, Daniel Zoran, Vincent L. Fish, Shep Doeleman, William T. Freeman
CVPR5
2009 The Murchison Widefield Array: Design Overview
abstract
The Murchison Widefield Array is a dipole-based aperture array synthesis telescope designed to operate in the 80-300 MHz frequency range. It is capable of a wide range of science investigations but is initially focused on three key science projects: detection and characterization of three-dimensional brightness temperature fluctuations in the 21 cm line of neutral hydrogen during the epoch of reionization (EoR) at redshifts from six to ten; solar imaging and remote sensing of the inner heliosphere via propagation effects on signals from distant background sources; and high-sensitivity exploration of the variable radio sky. The array design features 8192 dual-polarization broadband active dipoles, arranged into 512 ldquotilesrdquo comprising 16 dipoles each. The tiles are quasi-randomly distributed over an aperture 1.5 km in diameter, with a small number of outliers extending to 3 km. All tile-tile baselines are correlated in custom field-programmable gate array based hardware, yielding a Nyquist-sampled instantaneous monochromaticuvcoverage and unprecedented point spread function quality. The correlated data are calibrated in real time using novel position-dependent self-calibration algorithms. The array is located in the Murchison region of outback Western Australia. This region is characterized by extremely low population density and a superbly radio-quiet environment, allowing full exploitation of the instrumental capabilities.
Colin J. Lonsdale, Roger J. Cappallo, Miguel F. Morales, Frank H. Briggs, Leonid Benkevitch, Judd Bowman, John D. Bunton, Steven Burns 0002, Brian E. Corey, Ludi deSouza, Shep Doeleman, Mark Derome, Avinash A. Deshpande, Modavanatt Ramakrishna Gopala, Lincoln J. Greenhill, David Edwin Herne, Jacqueline N. Hewitt, P. A. Kamini, Justin C. Kasper, Barton B. Kincaid, Jonathan Kocz, Errol Kowald, Eric Kratzenberg, Deepak Kumar 0012, Mervyn J. Lynch, S. Madhavi, Michael Matejek, Daniel A. Mitchell, Edward H. Morgan, Divya Oberoi, Steven M. Ord, Joseph Pathikulangara, Thiagaraj Prabu, Alan E. E. Rogers, Anish A. Roshi, Joseph E. Salah, Robert J. Sault, Udaya Shankar Natarajan, K. S. Srivani, Jamie Stevens, Steven J. Tingay, Annino Vaccarella, Mark F. Waterson, Randall B. Wayth, Rachel Lindsey Webster, Alan R. Whitney, Andrew J. Williams, Christopher L. Williams
Proc. IEEE11