Technical Program

SPTM-L3: Adaptation and Learning

Session Type: Lecture
Time: Monday, March 6, 16:00 - 18:00
Location: Grand Salon 9
Session Chair: Dirk Slock, Eurecom, France
 
SPTM-L3.1: EFFICIENT ADAPTIVE FILTERING IN COMPRESSIVE DOMAINS FOR SPARSE SYSTEMS AND RELATION TO TRANSFORM-DOMAIN ADAPTIVE FILTERING
         Herbert Buchner; Cambridge University
         Karim Helwani; Huawei European Research Center
         Bashar I. Ahmad; Cambridge University
         Simon J. Godsill; Cambridge University
 
SPTM-L3.2: DISTRIBUTED DECISION-MAKING OVER MOBILE ADAPTIVE NETWORKS
         Sahar Khawatmi; Technische Universität Darmstadt
         Xinxin Huang; Technische Universität Darmstadt
         Abdelhak M. Zoubir; Technische Universität Darmstadt
 
SPTM-L3.3: MINIMUM MEAN SQUARE DEVIATION IN ZA-NLMS ALGORITHM
         Abdullah Al-Shabili; Khalifa University
         Shihab Jimaa; Khalifa University
         Luis Weruaga; proactivaudio
 
SPTM-L3.4: LEARNING BY NETWORKED AGENTS UNDER PARTIAL INFORMATION
         Chung-Kai Yu; University of California, Los Angeles
         Ali H. Sayed; University of California, Los Angeles
 
SPTM-L3.5: RECURSIVE LEAST-SQUARES ALGORITHMS FOR SPARSE SYSTEM MODELING
         Hamed Yazdanpanah; Federal University of Rio de Janeiro
         Paulo Sergio Ramirez Diniz; Federal University of Rio de Janeiro
 
SPTM-L3.6: FULLY ADAPTIVE MODE DECOMPOSITION FROM TIME-FREQUENCY RIDGES
         Sylvain Meignen; LJK laboratory
         Thomas Oberlin; IRIT laboratory
         Steve Mclaughlin; Heriot-Watt University