Technical Program

SAM-L2: Multi-Channel and Tensor-Based Signal Processing

Session Type: Lecture
Time: Wednesday, March 8, 13:30 - 15:30
Location: Grand Salon 4
Session Chairs: André L. F. de Almeida, Federal University of Ceará, Brazil and Piya Pal, UCSD, USA
 
SAM-L2.1: ON SATURATION OF THE CRAMÉR RAO BOUND FOR SPARSE BAYESIAN LEARNING
         Ali Koochakzadeh; University of California, San Diego
         Piya Pal; University of California, San Diego
 
SAM-L2.2: A COMPREHENSIVE PERFORMANCE COMPARISON OF RFI MITIGATION TECHNIQUES FOR UWB RADAR SIGNALS
         Lam Nguyen; U.S. Army Research Laboratory
         Trac D. Tran; Johns Hopkins University
 
SAM-L2.3: POLARIMETRIC RADAR CROSSTALK REMOVAL DURING SPARSE IMAGE FORMATION
         Julie Jackson; Air Force Institute of Technology
         Forest Lee-Elkin; Consultant
 
SAM-L2.4: EFFICIENT MULTIDIMENSIONAL PARAMETER ESTIMATION FOR JOINT WIDEBAND RADAR AND COMMUNICATION SYSTEMS BASED ON OFDM
         Jianshu Zhang; Ilmenau University of Technology
         Ivan Podkurkov; Tupolev Kazan National Research Technical University
         Martin Haardt; Ilmenau University of Technology
         Adel Nadeev; Tupolev Kazan National Research Technical University
 
SAM-L2.5: PERTURBATION ANALYSIS OF JOINT EIGENVALUE DECOMPOSITION ALGORITHMS
         Emilio Rafael Balda; Technical University Ilmenau
         Sher Ali Cheema; Technical University Ilmenau
         Amir Weiss; Tel Aviv University
         Arie Yeredor; Tel Aviv University
         Martin Haardt; Technical University Ilmenau
 
SAM-L2.6: BAYESIAN INFORMATION CRITERION FOR MULTIDIMENSIONAL SINUSOIDAL ORDER SELECTION
         Jie Xiong; University of Electronic Science and Technology of China
         Kefei Liu; Indiana University School of Medicine, Indianapolis, IN, USA 46202
         Joao Paulo Carvalho Lustosa da Costa; Ilmenau University of Technology
         Wen-Qin Wang; University of Electronic Science and Technology of China, Institute for Integrated Circuits