Technical Program

SAM-L3: Sparseness and Compressed Sensing

Session Type: Lecture
Time: Wednesday, March 8, 16:00 - 18:00
Location: Grand Salon 4
Session Chairs: Gonzalo Mateos Buckstein, University of Rochester, USA and Geert Leus, TU Delft, The Netherlands
 
SAM-L3.1: FAST HYPERSPECTRAL UNMIXING IN PRESENCE OF SPARSE MULTIPLE SCATTERING NONLINEARITIES
         Abderrahim Halimi; Heriot-Watt University
         Jose Bioucas-Dias; Universidade de Lisboa
         Nicolas Dobigeon; University of Toulouse
         Gerald S. Buller; Heriot-Watt University
         Steve McLaughlin; Heriot-Watt University
 
SAM-L3.2: BAYESIAN RECONSTRUCTION OF HYPERSPECTRAL IMAGES BY USING COMPRESSED SENSING MEASUREMENTS AND A LOCAL STRUCTURED PRIOR
         Yuri Mej√≠a; Universidad Industrial de Santander
         Facundo Costa; IRIT/INP-ENSEEIHT
         Henry Arguello; Universidad Industrial de Santander
         Jean-Yves Tourneret; IRIT/INP-ENSEEIHT
         Hadj Batatia; IRIT/INP-ENSEEIHT
 
SAM-L3.3: SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION
         Cheng-Yu Hung; University of Minnesota
         Mostafa Kaveh; University of Minnesota
 
SAM-L3.4: ONE-BIT SPARSE ARRAY DOA ESTIMATION
         Chun-Lin Liu; California Institute of Technology
         Palghat P. Vaidyanathan; California Institute of Technology
 
SAM-L3.5: LOW-RANK PHYSICAL MODEL RECOVERY FROM LOW-RANK SIGNAL APPROXIMATION
         Charles Ethan Hayes; Georgia Institute of Technology
         James H. McClellan; Georgia Institute of Technology
         Waymond R. Scott, Jr; Georgia Institute of Technology
 
SAM-L3.6: DOA ESTIMATION FROM ONE-BIT COMPRESSED ARRAY DATA VIA JOINT SPARSE REPRESENTATION
         Kai Yu; Zhejiang University
         Yimin Daniel Zhang; Temple University
         Ming Bao; Institute of Acoustics, Chinese Academy of Sciences
         Yu-Hen Hu; University of Wisconsin-Madison
         Zhi Wang; Zhejiang University