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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