SPCOM-L4: Sparse Signal Processing for Communications and Networking |
Session Type: Lecture |
Time: Wednesday, March 28, 14:00 - 16:00 |
Location: Room C-1 |
Session Chairs: Zhi-Quan Luo, University of Minnesota and Minoru Okada, Nara Institute of Science and Technology
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SPCOM-L4.1: GRAPH SPECTRAL COMPRESSED SENSING FOR SENSOR NETWORKS
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Xiaofan Zhu; McGill University
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Michael Rabbat; McGill University
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SPCOM-L4.2: D-ADMM: A DISTRIBUTED ALGORITHM FOR COMPRESSED SENSING AND OTHER SEPARABLE OPTIMIZATION PROBLEMS
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João Mota; Carnegie Mellon University / Instituto Superior Técnico
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João Xavier; Instituto Superior Técnico
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Pedro Aguiar; Instituto Superior Técnico
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Markus Püschel; ETH Zürich
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SPCOM-L4.3: JOINT POWER AND ADMISSION CONTROL VIA LINEAR PROGRAMMING DEFLATION
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Ya-Feng Liu; Chinese Academy of Sciences
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Yu-Hong Dai; Chinese Academy of Sciences
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Zhi-Quan Luo; University of Minnesota
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SPCOM-L4.4: DISTRIBUTED PRINCIPAL COMPONENT ANALYSIS ON NETWORKS VIA DIRECTED GRAPHICAL MODELS
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Zhaoshi Meng; University of Michigan
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Ami Wiesel; Hebrew University of Jerusalem
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Alfred O. Hero III; University of Michigan at Ann Arbor
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SPCOM-L4.5: L0 NORM BASED AFFINE PROJECTION SIGN ALGORITHM FOR SPARSE UNDERWATER ACOUSTIC CHANNEL ESTIMATION UNDER SYMMETRIC ALPHA-STABLE NOISE
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Konstantinos Pelekanakis; National University of Singapore
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Mandar Chitre; National University of Singapore
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SPCOM-L4.6: A COMPRESSIVE PHASE-LOCKED LOOP
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Stephen Schnelle; Rice University
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JP Slavinsky; Rice University
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Petros T. Boufounos; Mitsubishi Electric Research Laboratories
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Mark Davenport; Stanford University
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Richard Baraniuk; Rice University
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