Technical Program
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 |