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SPTM-L4: Compressed Sensing I

Session Type: Lecture
Time: Wednesday, March 23, 13:30 - 15:30
Location: Room 3H+3I+3J
Session Chair: Steve McLaughlin, Heriot-Watt Unniversity, Scotland, U.K.
 
  SPTM-L4.1: SIGNAL SPARSITY ESTIMATION FROM COMPRESSIVE NOISY PROJECTIONS VIA Γ-SPARSIFIED RANDOM MATRICES
         Chiara Ravazzi; Politecnico di Torino
         Sophie M. Fosson; Politecnico di Torino
         Tiziano Bianchi; Politecnico di Torino
         Enrico Magli; Politecnico di Torino
 
  SPTM-L4.2: LEARNING DATA TRIAGE: LINEAR DECODING WORKS FOR COMPRESSIVE MRI
         Yen-Huan Li; École Polytechnique Fédérale de Lausanne
         Volkan Cevher; École Polytechnique Fédérale de Lausanne
 
  SPTM-L4.3: PHASELESS SUPER-RESOLUTION USING MASKS
         Kishore Jaganathan; California Institute of Technology
         James Saunderson; University of Washington
         Maryam Fazel; University of Washington
         Yonina C. Eldar; Technion - Israel Institute of Technology
         Babak Hassibi; California Institute of Technology
 
  SPTM-L4.4: THE USE OF UNIT NORM TIGHT MEASUREMENT MATRICES FOR ONE-BIT COMPRESSED SENSING
         Cristian Rusu; The University of Vigo
         Nuria Gonzalez-Prelcic; The University of Vigo
         Robert W. Heath; The University of Texas at Austin
 
  SPTM-L4.5: RECOVERING K-SPARSE N-LENGTH VECTORS IN O(K LOGN) TIME: COMPRESSED SENSING USING SPARSE-GRAPH CODES
         Xiao Li; University of California, Berkeley
         Kannan Ramchandran; University of California, Berkeley
 
  SPTM-L4.6: INTENSITY-ONLY OPTICAL COMPRESSIVE IMAGING USING A MULTIPLY SCATTERING MATERIAL AND A DOUBLE PHASE RETRIEVAL APPROACH
         Boshra Rajaei; Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris
         Eric Tramel; École normale supérieure
         Sylvain Gigan; École normale supérieure
         Florent Krzakala; École normale supérieure
         Laurent Daudet; Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris
 

ICASSP 2016 Patrons