Proceedings of the 6th international conference on Information processing in sensor networks
Analysis of parallelizable resampling algorithms for particle filtering
Signal Processing
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
Neural Information Processing
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
A new evolutionary particle filter for the prevention of sample impoverishment
IEEE Transactions on Evolutionary Computation
Robust H2/H∞ global linearization filter design for nonlinear stochastic systems
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Brief paper: Distribution function tracking filter design using hybrid characteristic functions
Automatica (Journal of IFAC)
Node localization during power adjustment in wireless sensor networks
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Study of Algorithmic and Architectural Characteristics of Gaussian Particle Filters
Journal of Signal Processing Systems
A novel image template matching based on particle filtering optimization
Pattern Recognition Letters
A parallel histogram-based particle filter for object tracking on SIMD-based smart cameras
Computer Vision and Image Understanding
An improvement on resampling algorithm of particle filters
IEEE Transactions on Signal Processing
International Journal of Knowledge Engineering and Soft Data Paradigms
Business process adaptation on a tracked simulation model
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
A robust approach for clock offset estimation in wireless sensor networks
EURASIP Journal on Advances in Signal Processing
Multitarget bearings-only tracking using fuzzy clustering technique and Gaussian particle filter
The Journal of Supercomputing
Adaptive quantized target tracking in wireless sensor networks
Wireless Networks
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
A novel system for robust lane detection and tracking
Signal Processing
Practical data compression in wireless sensor networks: A survey
Journal of Network and Computer Applications
Segmenting and tracking the left ventricle by learning the dynamics in cardiac images
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Quasi-Gaussian particle filtering
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Distributed Markov Chain Monte Carlo kernel based particle filtering for object tracking
Multimedia Tools and Applications
Fixed parameter estimation method using gaussian particle filter
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
A Gaussian approximation recursive filter for nonlinear systems with correlated noises
Automatica (Journal of IFAC)
Synthesis of insulin pump controllers from safety specifications using Bayesian model validation
International Journal of Bioinformatics Research and Applications
Saturated Particle Filter: Almost sure convergence and improved resampling
Automatica (Journal of IFAC)
Modeling and prediction of nonlinear environmental system using Bayesian methods
Computers and Electronics in Agriculture
Gaussian filter for nonlinear systems with one-step randomly delayed measurements
Automatica (Journal of IFAC)
Doppler effect on target tracking in wireless sensor networks
Computer Communications
Chebyshev polynomial Kalman filter
Digital Signal Processing
Ant Colony Estimator: An intelligent particle filter based on ACOR
Engineering Applications of Artificial Intelligence
Genetic Algorithm-based Adaptive Optimization for Target Tracking in Wireless Sensor Networks
Journal of Signal Processing Systems
State and parameter estimation for nonlinear biological phenomena modeled by S-systems
Digital Signal Processing
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Sequential Bayesian estimation for nonlinear dynamic state-space models involves recursive estimation of filtering and predictive distributions of unobserved time varying signals based on noisy observations. This paper introduces a new filter called the Gaussian particle filter. It is based on the particle filtering concept, and it approximates the posterior distributions by single Gaussians, similar to Gaussian filters like the extended Kalman filter and its variants. It is shown that under the Gaussianity assumption, the Gaussian particle filter is asymptotically optimal in the number of particles and, hence, has much-improved performance and versatility over other Gaussian filters, especially when nontrivial nonlinearities are present. Simulation results are presented to demonstrate the versatility and improved performance of the Gaussian particle filter over conventional Gaussian filters and the lower complexity than known particle filters.