Technical Program

SPTM-P11: Monte-Carlo Based Signal Processing Methods

Session Type: Poster
Time: Thursday, May 30, 15:20 - 17:20
Location: Poster Area I
Session Chair: Petar Djuric, University of New York at Stonybrook
 
SPTM-P11.1: DISTRIBUTED PARTICLE FILTERING IN THE PRESENCE OF MUTUALLY CORRELATED SENSOR NOISES
         Ondrej Hlinka; Vienna University of Technology
         Franz Hlawatsch; Vienna University of Technology
 
SPTM-P11.2: AN EFFICIENT STOCHASTIC APPROXIMATION EM ALGORITHM USING CONDITIONAL PARTICLE FILTERS
         Fredrik Lindsten; Linköping University
 
SPTM-P11.3: ARCH AND GARCH PARAMETER ESTIMATION IN PRESENCE OF ADDITIVE NOISE USING PARTICLE METHODS
         Saman Mousazadeh; Technion - Israel Institute of Technology
         Israel Cohen; Technion - Israel Institute of Technology
 
SPTM-P11.4: COPULA GAUSSIAN GRAPHICAL MODEL FOR DISCRETE DATA
         Justin Dauwels; Nanyang Technological University
         Hang Yu; Nanyang Technological University
         Shiyan Xu; Nanyang Technological University
         Xueou Wang; Nanyang Technological University
 
SPTM-P11.5: RAO-BLACKWELLIZED PARTICLE SMOOTHERS FOR MIXED LINEAR/NONLINEAR STATE-SPACE MODELS
         Fredrik Lindsten; Linköping University
         Pete Bunch; University of Cambridge
         Simon J. Godsill; University of Cambridge
         Thomas B. Schön; Linköping University
 
SPTM-P11.6: ADAPTIVE STOPPING FOR FAST PARTICLE SMOOTHING
         Ehsan Taghavi; Chalmers University of Technology
         Fredrik Lindsten; Linköping University
         Lennart Svensson; Chalmers University of Technology
         Thomas B. Schön; Linköping University
 
SPTM-P11.7: A MARGINALISED PARTICLE FILTER FOR BEARINGS-ONLY TRACKING
         Mark Morelande; University of Melbourne
 
SPTM-P11.8: DATA DETECTION USING PARTICLE FILTERING IN RELAY-BASED COMMUNICATION SYSTEM WITH LAPLACE AR CHANNEL MODEL
         Tadesse Ghirmai; University of Washington Bothell
 
SPTM-P11.9: PARTICLE METROPOLIS HASTINGS USING LANGEVIN DYNAMICS
         Johan Dahlin; Linköping University
         Fredrik Lindsten; Linköping University
         Thomas B. Schön; Linköping University
 
SPTM-P11.10: BAYESIAN FILTERING WITH INTRACTABLE LIKELIHOOD USING SEQUENTIAL MCMC
         François Septier; Institut Mines-Telecom / Telecom Lille1 / LAGIS UMR CNRS 8219
         Gareth W. Peters; University College London
         Ido Nevat; Wireless & Networking Tech. Lab, CSIRO
 
SPTM-P11.11: A POPULATION MONTE CARLO SCHEME FOR COMPUTATIONAL INFERENCE IN HIGH DIMENSIONAL SPACES
         Eugenia Koblents; Universidad Carlos III de Madrid
         Joaquín Míguez; Universidad Carlos III de Madrid
 
SPTM-P11.12: A NEW MINIMUM-CONSENSUS DISTRIBUTED PARTICLE FILTER FOR BLIND EQUALIZATION IN RECEIVER NETWORKS
         Claudio Bordin; Universidade Federal do ABC (UFABC)
         Marcelo Bruno; Instituto Tecnológico de Aeronáutica
 
SPTM-P11.13: FULL ORDER NONLINEAR DISTRIBUTED ESTIMATION IN INTERMITTENTLY CONNECTED NETWORKS
         Arash Mohammadi; York University
         Amir Asif; York University
 
SPTM-P11.14: MCMC PARTICLE FILTER FOR TRACKING IN A PARTIALLY KNOWN MULTIPATH ENVIRONMENT
         Bentarage Sachintha Karunaratne; The University of Melbourne
         Mark Morelande; The University of Melbourne
         Bill Moran; The University of Melbourne