Ami Wiesel

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Yonina EldarMath and Computer Science, WeizmannEmail verificata su weizmann.ac.il
Alfred HeroJohn H Holland Distinguished University Professor, University of MichiganEmail verificata su eecs.umich.edu
Ilya SoloveychikAssistant Professor, The Hebrew University of JerusalemEmail verificata su mail.huji.ac.il
Yilun ChenPh.D., University of MichiganEmail verificata su umich.edu
Gal ElidanHebrew University / GoogleEmail verificata su huji.ac.il
Javier R. FonollosaProfessor at the Signal Theory and Communications Department, Universitat Politècnica de CatalunyaEmail verificata su upc.edu
Alba Pagès ZamoraAssociate Professor, Universitat Politècnica de CatalunyaEmail verificata su upc.edu
Hagit MesserProfessor of Electrical Engineering, Tel Aviv UniversityEmail verificata su eng.tau.ac.il
Peng YangWashington University in St. LouisEmail verificata su ese.wustl.edu
Zhao TanFacebookEmail verificata su fb.com
Arye NehoraiWashington University in St. LouisEmail verificata su ese.wustl.edu
Xavier MestreAssociate Researcher, Centre Tecnològic de Telecomunicacions de CatalunyaEmail verificata su cttc.cat
Teng ZhangDepartment of Mathematics, University of Central FloridaEmail verificata su ucf.edu
Zhaoshi MengVicarious AIEmail verificata su vicarious.com
Maria S. GrecoFull Professor, University of Pisa, ItalyEmail verificata su iet.unipi.it
Amir GlobersonTel Aviv UniversityEmail verificata su post.tau.ac.il
Kuang-Hung LiuExxonMobil Corporate Strategic ResearchEmail verificata su umich.edu
Ashish KhistiAssoc. Professor, University of TorontoEmail verificata su comm.utoronto.ca
Christopher J. HoneyAssistant Professor, Johns Hopkins UniversityEmail verificata su jhu.edu
Janice ChenAssistant Professor, Johns Hopkins UniversityEmail verificata su jhu.edu

Ami Wiesel

Hebrew University of Jerusalem, Israel

Email verificata su mail.huji.ac.il - Home page

Statistical signal processing convex optimization graphical models


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Linear precoding via conic optimization for fixed MIMO receivers A Wiesel, YC Eldar, S Shamai IEEE Transactions on Signal Processing 54 (1), 161-176, 2005	895	2005
Zero-forcing precoding and generalized inverses A Wiesel, YC Eldar, S Shamai IEEE Transactions on Signal Processing 56 (9), 4409-4418, 2008	519	2008
Deep MIMO detection N Samuel, T Diskin, A Wiesel SPAWC 2017, 1-5, 2017	313*	2017
Shrinkage algorithms for MMSE covariance estimation Y Chen, A Wiesel, YC Eldar, AO Hero IEEE Transactions on Signal Processing 58 (10), 5016-5029, 2010	304	2010
Robust shrinkage estimation of high-dimensional covariance matrices Y Chen, A Wiesel, AO Hero IEEE Transactions on Signal Processing 59 (9), 4097-4107, 2011	236	2011
On the Gaussian MIMO wiretap channel A Khisti, G Wornell, A Wiesel, Y Eldar 2007 IEEE International Symposium on Information Theory, 2471-2475, 2007	233	2007
Dynamic reconfiguration of the default mode network during narrative comprehension E Simony, CJ Honey, J Chen, O Lositsky, Y Yeshurun, A Wiesel, ... Nature communications 7, 12141, 2016	230	2016
Semidefinite relaxation for detection of 16-QAM signaling in MIMO channels A Wiesel, YC Eldar, S Shamai IEEE Signal Processing Letters 12 (9), 653-656, 2005	165	2005
Efficient implementation of sphere demodulation A Wiesel, X Mestre, A Pages, JR Fonollosa 2003 4th IEEE Workshop on Signal Processing Advances in Wireless …, 2003	133	2003
Non-data-aided signal-to-noise-ratio estimation A Wiesel, J Goldberg, H Messer 2002 IEEE International Conference on Communications. Conference Proceedings …, 2002	128	2002
SNR estimation in time-varying fading channels A Wiesel, J Goldberg, H Messer-Yaron IEEE Transactions on Communications 54 (5), 841-848, 2006	114	2006
Geodesic convexity and covariance estimation A Wiesel IEEE transactions on signal processing 60 (12), 6182-6189, 2012	100	2012
Unified framework to regularized covariance estimation in scaled Gaussian models A Wiesel IEEE Transactions on Signal Processing 60 (1), 29-38, 2011	95	2011
Learning to detect N Samuel, T Diskin, A Wiesel IEEE Transactions on Signal Processing 67 (10), 2554-2564, 2019	94	2019
Power system state estimation using PMUs with imperfect synchronization P Yang, Z Tan, A Wiesel, A Nehorai IEEE Transactions on power Systems 28 (4), 4162-4172, 2013	94	2013
Linear regression with Gaussian model uncertainty: Algorithms and bounds A Wiesel, YC Eldar, A Yeredor IEEE Transactions on Signal Processing 56 (6), 2194-2205, 2008	71	2008
Multivariate generalized Gaussian distribution: Convexity and graphical models T Zhang, A Wiesel, MS Greco IEEE Transactions on Signal Processing 61 (16), 4141-4148, 2013	67	2013
Shrinkage estimation of high dimensional covariance matrices Y Chen, A Wiesel, AO Hero 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009	55	2009
Decomposable principal component analysis A Wiesel, AO Hero IEEE Transactions on Signal Processing 57 (11), 4369-4377, 2009	54	2009
Time varying autoregressive moving average models for covariance estimation A Wiesel, O Bibi, A Globerson IEEE Transactions on Signal Processing 61 (11), 2791-2801, 2013	51	2013

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