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SPTM-P5: Sparse Modelling and Compressed Sensing

Session Type: Poster
Time: Wednesday, May 29, 08:00 - 10:00
Location: Poster Area I
Session Chair: P.P Vaidyanathan, CALTECH
 
  SPTM-P5.1: DICTIONARY LEARNING FOR SPARSE DECOMPOSITION: A NEW CRITERION AND ALGORITHM
         Zahra Sadeghipoor; Sharif University of Technology
         Massoud Babaie-Zadeh; Sharif University of Technology
         Christian Jutten; Institut Universitaire de France
 
  SPTM-P5.2: FUSION OF ALGORITHMS FOR COMPRESSED SENSING
         Sooraj K. Ambat; Indian Institute of Science
         Saikat Chatterjee; KTH Royal Institute of Technology
         K.V.S. Hari; Indian Institute of Science
 
  SPTM-P5.3: WEIGHTED-DAMPED APPROXIMATE MESSAGE PASSING FOR COMPRESSED SENSING
         Shengchu Wang; Tsinghua University
         Yunzhou Li; Tsinghua University
         Zhen Gao; Tsinghua University
         Jing Wang; Tsinghua University
 
  SPTM-P5.4: A MIXED INTEGER LINEAR PROGRAMMING FORMULATION FOR THE SPARSE RECOVERY PROBLEM IN COMPRESSED SENSING
         N. Burak Karahanoğlu; TÜBİTAK-BİLGEM
         Hakan Erdoğan; Sabancı University
         Ş. İlker Birbil; Sabancı University
 
  SPTM-P5.5: FROM LEAST SQUARES TO SPARSE: A NON-CONVEX APPROACH WITH GUARANTEE
         Laming Chen; Tsinghua University
         Yuantao Gu; Tsinghua University
 
  SPTM-P5.6: CORRELATION-AWARE SPARSE SUPPORT RECOVERY: GAUSSIAN SOURCES
         Piya Pal; California Institute of Technology
         P. P. Vaidyanathan; California Institute of Technology
 
  SPTM-P5.7: A GREEDY FORWARD-BACKWARD ALGORITHM FOR ATOMIC NORM CONSTRAINED MINIMIZATION
         Nikhil Rao; University of Wisconsin
         Parikshit Shah; University of Wisconsin
         Stephen Wright; University of Wisconsin
         Robert Nowak; University of Wisconsin
 
  SPTM-P5.8: ON FINITE ALPHABET COMPRESSIVE SENSING
         Abhik Das; The University of Texas at Austin
         Sriram Vishwanath; The University of Texas at Austin
 
  SPTM-P5.9: OPTIMAL DETERMINISTIC COMPRESSED SENSING MATRICES
         Arash Saber Tehrani; University of Southern California
         Alexandros Dimakis; University of Southern California
         Giuseppe Caire; University of Southern California
 
  SPTM-P5.10: JOINT RECOVERY OF SPARSE SIGNALS AND PARAMETER PERTURBATIONS WITH PARAMETERIZED MEASUREMENT MODELS
         Erik Johnson; University of Illinois
         Douglas Jones; University of Illinois
 
  SPTM-P5.11: SEPARATING SPARSE AND LOW-DIMENSIONAL SIGNAL SEQUENCES FROM TIME-VARYING UNDERSAMPLED PROJECTIONS OF THEIR SUMS
         Jinchun Zhan; Iowa State University
         Namrata Vaswani; Iowa State University
         Ian Atkinson; University of Illinois at Chicago
 
  SPTM-P5.12: REVERSE ENGINEERING OF SIGNAL ACQUISITION CHAINS USING THE THEORY OF SAMPLING SIGNALS WITH FINITE RATE OF INNOVATION
         Thirapiroon Thongkamwitoon; Imperial College London
         Hani Muammar; Imperial College London
         Pier Luigi Dragotti; Imperial College London
 
  SPTM-P5.13: A ONE-BIT REWEIGHTED ITERATIVE ALGORITHM FOR SPARSE SIGNAL RECOVERY
         Yanning Shen; University of Electronic Science and Technology of China
         Jun Fang; University of Electronic Science and Technology of China
         Hongbin Li; Stevens Institute of Technology
         Zhi Chen; University of Electronic Science and Technology of China
 
  SPTM-P5.14: BEAMFORMERS FOR SPARSE RECOVERY
         Martin Sundin; KTH Royal Institute of Technology
         Dennis Sundman; KTH Royal Institute of Technology
         Magnus Jansson; KTH Royal Institute of Technology