Zobrazeno 1 - 10 of 19 pro vyhledávání: '"Mouri Sardarabadi, A."'
1
Signal Processing for Radio Astronomy
Autor: van der Veen, A.J., Wijnholds, SJ, Mouri Sardarabadi, A., Bhattacharyya, S., Deprettere, E., Leupers, R., Takala, J.
Publikováno v: Handbook of Signal Processing Systems
Handbook of Signal Processing Systems ISBN: 9783319917337
Radio astronomy is known for its very large telescope dishes but is currently making a transition towards the use of a large number of small antennas. For example, the Low Frequency Array, commissioned in 2010, uses about 50 stations each consisting
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dfdc1fa9c7fe346b722950281f1ed66
http://resolver.tudelft.nl/uuid:1d42b311-ef9a-49a9-ad62-263ab94386f7
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2
Quantifying Suppression of the Cosmological 21-cm Signal due to Direction Dependent Gain Calibration in Radio Interferometers
Autor: Léon V. E. Koopmans, A. Mouri Sardarabadi
Publikováno v: Monthly Notices of the Royal Astronomical Society, 483(4). Oxford University Press
The 21-cm signal of neutral hydrogen - emitted during the Epoch of Reionization - promises to be an important source of information for the study of the infant universe. However, its detection is impossible without sufficient mitigation of other stro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f5aa87b026f99ff86c40427f34b21d3
http://arxiv.org/abs/1809.03755
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3
Efficient Calibration of Radio Interferometers Using Block LDU Decomposition
Autor: Léon V. E. Koopmans, Ahmad Mouri Sardarabadi, Alle-Jan van der Veen
Publikováno v: 2018 26th European Signal Processing Conference (EUSIPCO)
EUSIPCO
2018 26th European Signal Processing Conference (EUSIPCO), 2688-2692
STARTPAGE=2688;ENDPAGE=2692;TITLE=2018 26th European Signal Processing Conference (EUSIPCO)
Having an accurate calibration method is crucial for any scientific research done by a radio telescope. The next generation radio telescopes such as the Square Kilometre Array (SKA) will have a large number of receivers which will produce exabytes of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a52c785a43b3238a292b46074281d7b7
https://arxiv.org/pdf/1803.05707.pdf
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4
Constrained Least Squares for Extended Complex Factor Analysis
Autor: Alle-Jan van der Veen, Léon V. E. Koopmans, Ahmad Mouri Sardarabadi
Publikováno v: 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)
SAM
2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 169-173
STARTPAGE=169;ENDPAGE=173;TITLE=2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)
For subspace estimation with an unknown colored noise, Factor Analysis (FA) and its extensions, denoted as Extended FA (EFA), are good candidates for replacing the popular eigenvalue decomposition (EVD). Finding the unknowns in (E)FA can be done by s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e1d1fa94ec6fd956e1b0b57dcede4a0
http://arxiv.org/abs/1804.00430
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5
Spatial Filtering of RF Interference in Radio Astronomy Using a Reference Antenna Array
Autor: Albert-Jan Boonstra, Alle-Jan van der Veen, Ahmad Mouri Sardarabadi
Publikováno v: IEEE Transactions on Signal Processing, 64(2), 432-447
Radio astronomical observations are increasingly contaminated by RF interference. Assuming an array of telescopes, a previous technique considered spatial filtering based on projecting out the interferer array signature vector. A disadvantage is that
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0d9bfa35d2e792cc26f10a83ee6a686
https://doi.org/10.1109/tsp.2015.2483481
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6
Complex Factor Analysis and Extensions
Autor: Alle-Jan van der Veen, Ahmad Mouri Sardarabadi
Publikováno v: IEEE Transactions on Signal Processing, 66(4)
IEEE Transactions on Signal Processing, 66(4), 954-967
Many subspace-based array signal processing algorithms assume that the noise is spatially white. In this case, the noise covariance matrix is a multiple of the identity and the eigenvectors of the data covariance matrix are not affected by it. If the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::998d8023d574ee909e695b09c9d5b6b9
http://resolver.tudelft.nl/uuid:13293f3d-0380-4416-950d-613661b76a1d
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8
Point and beam-sparse radio astronomical source recovery using non-negative least squares
Autor: Alle-Jan van der Veen, Shahrzad Naghibzadeh, Ahmad Mouri Sardarabadi
Publikováno v: SAM
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016, 2016-September
A simple and novel algorithm for source recovery based on array data measurements in radio astronomy is proposed. Considering that a radioastronomical image is composed of both point sources and extended emissions, prior information on the images, na
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e161c5ed4c3bcc576295d682bb32947
http://www.scopus.com/inward/record.url?scp=84990861690&partnerID=8YFLogxK
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9
Radioastronomical image reconstruction with regularized least squares
Autor: Naghibzadeh, S., Mouri Sardarabadi, A., van der Veen, A.J., Dong, Min, Zheng, Thomas Fang
Publikováno v: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP
Image formation using the data from an array of sensors is a familiar problem in many fields such as radio astronomy, biomedical and geodetic imaging. The problem can be formulated as a least squares (LS) estimation problem and becomes ill-posed at h
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f769647a1068ae5487a724fc582fddcd
http://resolver.tudelft.nl/uuid:c049f07f-037e-434d-b834-1178fc669a3b
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10
Covariance matching techniques for radio astronomy calibration and imaging
Autor: Mouri Sardarabadi, A.
The search for the answer to one of the most fundamental scientific questions, “How was the universe formed?”, requires us to study very weak radio signals from the early universe. In the last eighty years, radio astronomers have been able to use
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