Technical Program
SPTM-P9: Compressed Sensing II |
Session Type: Poster |
Time: Thursday, March 24, 08:30 - 10:30 |
Location: Poster Area G |
Session Chair: K.V.S. Hari, Indian Institute of Science, Bangalore |
SPTM-P9.1: A WEIGHTED ATOMIC NORM APPROACH TO SPECTRAL SUPER-RESOLUTION WITH PROBABILISTIC PRIORS |
Zai Yang; Nanyang Technological University |
Lihua Xie; Nanyang Technological University |
SPTM-P9.2: A SEGMENT-SLIDING RECONSTRUCTION SCHEME FOR PULSED RADAR ECHOES WITH SUB-NYQUIST SAMPLING |
Suling Zhang; Nanjing University of Science and Technology |
Feng Xi; Nanjing University of Science and Technology |
Shengyao Chen; Nanjing University of Science and Technology |
Yimin D. Zhang; Temple University |
Zhong Liu; Nanjing University of Science and Technology |
SPTM-P9.3: PIECEWISE SPARSE SIGNAL RECOVERY VIA PIECEWISE ORTHOGONAL MATCHING PURSUIT |
Kezhi Li; University of Science and Technology of China; Royal Institute of Technology; Imperial College London; |
Cristian Rojas; Royal Institute of Technology KTH |
Tao Yang; Royal Institute of Technology KTH |
Hakan Hjalmarsson; Royal Institute of Technology KTH |
Karl Johansson; Royal Institute of Technology KTH |
Shuang Cong; University of Science and Technology of China |
SPTM-P9.4: 1-BIT COMPRESSED SENSING OF POSITIVE SEMI-DEFINITE MATRICES VIA RANK-1 MEASUREMENT MATRICES |
Xiyuan Wang; University of Science and Technology Beijing |
Kun Wang; National Computer Network Emergency Response Technical Team/Coordination Center of China |
Zhongshan Zhang; University of Science and Technology Beijing |
Keping Long; University of Science and Technology Beijing |
SPTM-P9.5: SIGNAL RECONSTRUCTION IN THE PRESENCE OF SIDE INFORMATION: THE IMPACT OF PROJECTION KERNEL DESIGN |
Meng-Yang Chen; University College London |
Francesco Renna; University College London |
Miguel Rodrigues; University College London |
SPTM-P9.6: A GENERALIZED LDPC FRAMEWORK FOR ROBUST AND SUBLINEAR COMPRESSIVE SENSING |
Xu Chen; Northwestern University |
Dongning Guo; Northwestern University |
SPTM-P9.7: BAYESIAN TUNING FOR SUPPORT DETECTION AND SPARSE SIGNAL ESTIMATION VIA ITERATIVE SHRINKAGE-THRESHOLDING |
Chiara Ravazzi; Politecnico di Torino |
Enrico Magli; Politecnico di Torino |
SPTM-P9.8: FUSION OF ALGORITHMS FOR MULTIPLE MEASUREMENT VECTORS |
Deepa K G; Indian Institute of Science |
Sooraj K. Ambat; Naval Physical & Oceanographic Laboratory |
K.V.S. Hari; Indian Institute of Science |
SPTM-P9.9: FAST ALTERNATING PROJECTED GRADIENT DESCENT ALGORITHMS FOR RECOVERING SPECTRALLY SPARSE SIGNALS |
Myung Cho; University of Iowa |
Jian-Feng Cai; Hong Kong University of Science and Technology |
Suhui Liu; University of Iowa |
Yonina C. Eldar; Technion - Israel Institute of Technology |
Weiyu Xu; University of Iowa |
SPTM-P9.10: ROBUST SPARSE RECOVERY FOR COMPRESSIVE SENSING IN IMPULSIVE NOISE USING LP-NORM MODEL FITTING |
Fei Wen; Shanghai Jiao Tong University |
Peilin Liu; Shanghai Jiao Tong University |
Yipeng Liu; University of Electronic Science and Technology of China |
Robert C. Qiu; Shanghai Jiao Tong University |
Wenxian Yu; Shanghai Jiao Tong University |