Technical Program

SPTM-L1: Detection Theory and Methods

Session Type: Lecture
Time: Tuesday, March 27, 14:00 - 16:00
Location: Room C-2
Session Chairs: Jean-Yves Tourneret, University of Toulouse and Hiroyuki Tsuji, National Institute of Information and Communications
 
SPTM-L1.1: A BAYESIAN DERIVATION OF GENERALIZED COHERENCE DETECTORS
         Songsri Sirianunpiboon; Defence Science and Technology Organisation
         Stephen D. Howard; Defence Science and Technology Organisation
         Douglas Cochran; Arizona State University
 
SPTM-L1.2: DETECTION OF SPARSE RANDOM SIGNALS USING COMPRESSIVE MEASUREMENTS
         Bhavani Shankar Mysore Rama Rao; University of Luxembourg
         Saikat Chatterjee; Royal Institute of Technology
         Bjorn Ottersten; University of Luxembourg
 
SPTM-L1.3: ERROR EXPONENTS FOR COMPOSITE HYPOTHESIS TESTING WITH SMALL SAMPLES
         Dayu Huang; University of Illinois at Urbana-Champaign
         Sean Meyn; University of Illinois at Urbana-Champaign
 
SPTM-L1.4: GOODNESS-OF-FIT STATISTICS FOR ANOMALY DETECTION IN CHUNG­-LU RANDOM GRAPHS
         Benjamin A. Miller; MIT Lincoln Laboratory
         Lauren H. Stephens; Massachusetts Institute of Technology
         Nadya T. Bliss; MIT Lincoln Laboratory
 
SPTM-L1.5: SEQUENTIAL HYPOTHESIS TESTING WITH OFF-LINE RANDOMIZED SENSOR SELECTION STRATEGY
         Cheng-Zong Bai; University of Notre Dame
         Vijay Gupta; University of Notre Dame
         Yih-Fang Huang; University of Notre Dame
 
SPTM-L1.6: PROBABILITY HYPOTHESIS DENSITY FILTERING WITH MULTIPATH-TO-MEASUREMENT ASSOCIATION FOR URBAN TRACKING
         Meng Zhou; Arizona State University
         Jun Jason Zhang; University of Denver
         Antonia Papandreou-Suppappola; Arizona State University