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My ICASSP 2017 Schedule

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SPTM-P7: Sparse Modeling Methods

Session Type: Poster
Time: Tuesday, March 7, 13:30 - 15:30
Location: Churchill: Poster Area F
Session Chair: Athina Petropulu, Rutgers University, USA
 
  SPTM-P7.1: SPARSE SIGNAL RECOVERY USING GENERALIZED APPROXIMATE MESSAGE PASSING WITH BUILT-IN PARAMETER ESTIMATION
         Shuai Huang; Johns Hopkins University
         Trac D. Tran; Johns Hopkins University
 
  SPTM-P7.2: SUPER-RESOLUTION DELAY-DOPPLER ESTIMATION FOR SUB-NYQUIST RADAR VIA ATOMIC NORM MINIMIZATION
         Feng Xi; Nanjing University of Science and Technology
         Shengyao Chen; Nanjing University of Science and Technology
         Zhong Liu; Nanjing University of Science and Technology
 
  SPTM-P7.3: ADAPTIVE MATCHING PURSUIT FOR SPARSE SIGNAL RECOVERY
         Tiep Vu; The Pennsylvania State University
         Hojjat Mousavi; The Pennsylvania State University
         Vishal Monga; The Pennsylvania State University
 
  SPTM-P7.4: SCALED AND SQUARE-ROOT ELASTIC NET
         Elias Raninen; Aalto University
         Esa Ollila; Aalto University
 
  SPTM-P7.5: A PRACTICAL HIGH-DIMENSIONAL SPARSE FOURIER TRANSFORM
         Shaogang Wang; Rutgers, The State University of New Jersey
         Vishal Patel; Rutgers, The State University of New Jersey
         Athina Petropulu; Rutgers, The State University of New Jersey
 
  SPTM-P7.6: BUILDING RECURRENT NETWORKS BY UNFOLDING ITERATIVE THRESHOLDING FOR SEQUENTIAL SPARSE RECOVERY
         Scott Wisdom; University of Washington
         Thomas Powers; University of Washington
         James Pitton; University of Washington
         Les Atlas; University of Washington
 
  SPTM-P7.7: SPARSE ERROR CORRECTION WITH MULTIPLE MEASUREMENT VECTORS: OBSERVABILITY-AWARE APPROACH
         Sharmin Kibria; Oregon State University
         Jinsub Kim; Oregon State University
         Raviv Raich; Oregon State University
 
  SPTM-P7.8: SPARSITY AMPLIFIED
         Ivan Selesnick; New York University
 
  SPTM-P7.9: LAPLACE MIXTURES MODELS FOR EFFICIENT COMPRESSED SENSING WITH SIDE INFORMATION
         Chiara Ravazzi; National Research Council (CNR)
         Enrico Magli; Politecnico di Torino
 
  SPTM-P7.10: GROUP-LEVEL SUPPORT RECOVERY GUARANTEES FOR GROUP LASSO ESTIMATOR
         Mojtaba Kadkhodaie Elyaderani; University of Minnesota
         Swayambhoo Jain; University of Minnesota
         Jeffrey Druce; University of Minnesota
         Stefano Gonella; University of Minnesota
         Jarvis Haupt; University of Minnesota