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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

ICASSP 2016 Patrons