Technical Program
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 |