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Ruben Grigoryan
Researcher at Aalborg University
Publications - 8
Citations - 54
Ruben Grigoryan is an academic researcher from Aalborg University. The author has contributed to research in topics: Compressed sensing & Sampling (signal processing). The author has an hindex of 4, co-authored 6 publications receiving 35 citations.
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Journal ArticleDOI
InAs-Al hybrid devices passing the topological gap protocol
Morteza Aghaee,Arun Goud Akkala,Zulfiqar Alam,Rizwan Ali,Alejandro Ramirez,Mariusz Andrzejczuk,Andrey E. Antipov,Pavel Aseev,Mikhail A. Astafev,Bela Bauer,J. Becker,Srinivasa Rao Boddapati,Frenk Boekhout,Jouri D. S. Bommer,E. B. Hansen,Tom Bosma,L. Bourdet,Samuel Boutin,Philippe Caroff,Lucas Casparis,Maja C. Cassidy,Anna Wulff Christensen,Noah Clay,William S. Cole,Fabiano Corsetti,Ajuan Cui,Paschalis Dalampiras,Anand Dokania,G. de Lange,Michiel W. A. de Moor,J. C. Estrada Saldaña,Saeed Fallahi,Zahra Heidarnia Fathabad,John King Gamble,Geoffrey C. Gardner,Deshanie Govender,Flavio Griggio,Ruben Grigoryan,Sergei Gronin,Jan Gukelberger,Sebastian Heedt,Jesús Herranz Zamorano,Samantha Ho,U. Laurens D. Holgaard,William H. P. Nielsen,Henrik Ingerslev,Peter Krogstrup,Linda I. M. Johansson,Jeffrey Jones,Ray Kallaher,Farhad Karimi,Torsten Karzig,Cameron N. King,Maren E. Kloster,Christina Knapp,D. Kocon,Jonne V. Koski,Pasi Kostamo,Mahesh Kumar,Tom Laeven,T. W. Larsen,Kongyi Li,Tyler Lindemann,Julie Helen Love,Roman M. Lutchyn,Michael J. Manfra,Elvedin Memisevic,Chetan Nayak,Bas Nijholt,Morten Hannibal Madsen,Signe B. Markussen,E. A. Martínez,Robert McNeil,Andrew Mullally,Jens H. Nielsen,Anne Nurmohamed,Eoin O'Farrell,Keita Otani,S. J. Pauka,Karl Petersson,L. Petit,Dima Pikulin,Frank Santa Cruz Preiss,Marina Quintero Perez,Katrine Skovgaard Rasmussen,Mohana K. Rajpalke,Davydas Razmadze,Outi Reentila,David J. Reilly,Richard Rouse,Ivan Sadovskyy,Lauri Sainiemi,Sydney Schreppler,V. G. Sidorkin,Amrita Singh,Shilpi Singh,S.P. Sinha,Patrick Sohr,Tomavs Stankevivc,Lieuwe J Stek,Henri J. Suominen,Judith Suter,V. N. Svidenko,Samuel M. L. Teicher,Mine Temuerhan,Nivetha Thiyagarajah,R. Tholapi,Mason Thomas,Emily Toomey,Shivendra Upadhyay,Ivica Urban,S. Vaitiek.enas,Kevin Van Hoogdalem,D V Viazmitinov,S. J. Waddy,D. J. van Woerkom,Dominik Vogel,John Watson,Joseph Weston,Georg W. Winkler,Chung-Kai Yang,Sean Shun Ming Yau,Daniel Choong Zhi Yi,E. Yucelen,A. Webster,Roland Zeisel,Ruichen Zhao +126 more
TL;DR: In this article , the authors present measurements and simulations of semiconductor-superconductor heterostructure devices that are consistent with the observation of topological superconductivity and Majorana zero modes.
Proceedings ArticleDOI
Reducing the computational complexity of reconstruction in compressed sensing nonuniform sampling
TL;DR: This paper considers an orthogonal matching pursuit reconstruction algorithm for single-channel sampling and its modification for multi-coset sampling and demonstrates order of magnitude reduction in execution time for typical problem sizes without degradation of the signal reconstruction quality.
Journal ArticleDOI
Computational complexity reduction in nonuniform compressed sensing by multi-coset emulation
TL;DR: In this article, the authors proposed to emulate multi-coset sampling (MCS) in single-channel nonuniform sampling (SNS) acquisition as a means to decrease the computational costs.
Proceedings ArticleDOI
Performance comparison of reconstruction algorithms in discrete blind multi-coset sampling
TL;DR: According to the simulations, focal under-determined system solver outperforms all other algorithms for signals with low signal-to-noise ratio and the multiple signal classification algorithm is more beneficial.
MATLAB simulation software used for the article "Computational Complexity Reduction in Nonuniform Compressed Sensing by Multi-Coset Emulation"
TL;DR: This paper proposes to emulate multi-coset sampling (MCS) in SNS acquisition as a means to decrease the computational costs and investigates performance-complexity tradeoffs due to the difference of the SNS and MCS models.