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ICASSP
2011
IEEE
13 years 2 months ago
Efficient distributed resampling for particle filters
In particle filtering, resampling is the only step that cannot be fully parallelized. Recently, we have proposed algorithms for distributed resampling implemented on architecture...
Balakumar Balasingam, Miodrag Bolic, Petar M. Djur...
ICASSP
2011
IEEE
13 years 2 months ago
Consensus-based distributed particle filtering algorithms for cooperative blind equalization in receiver networks
We describe in this paper novel consensus-based distributed particle filtering algorithms which are applied to cooperative blind equalization of frequency-selective channels in a...
Claudio J. Bordin, Marcelo G. S. Bruno
CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
13 years 5 months ago
Decentralization of particle filters using arbitrary state decomposition
In this paper, a new particle filter (PF) which we refer to as the decentralized PF (DPF) is proposed. By first decomposing the state into two parts, the DPF splits the filtering p...
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson...
VISUALIZATION
2005
IEEE
14 years 4 months ago
Surface Reconstruction Via Contour Metamorphosis: An Eulerian Approach With Lagrangian Particle Tracking
We present a robust method for 3D reconstruction of closed surfaces from sparsely sampled parallel contours. A solution to this problem is especially important for medical segment...
Ola Nilsson, David E. Breen, Ken Museth
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 5 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox