State-of-the-Art for the Marginalized Particle Filter
暂无分享,去创建一个
Fredrik Gustafsson | Rickard Karlsson | Thomas B. Schon | Per-Johan Nordlund | F. Gustafsson | P. Nordlund | R. Karlsson | T. Schon
[1] Rong Chen,et al. Delayed-pilot sampling for mixture Kalman filter with application in fading channels , 2002, IEEE Trans. Signal Process..
[2] Christian P. Robert,et al. Monte Carlo Statistical Methods , 2005, Springer Texts in Statistics.
[3] F. Gustafsson,et al. The marginalized particle filter for automotive tracking applications , 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..
[4] Jun S. Liu,et al. Mixture Kalman filters , 2000 .
[5] Thomas B. Schön,et al. Marginalized particle filters for mixed linear/nonlinear state-space models , 2005, IEEE Transactions on Signal Processing.
[6] C. Andrieu,et al. A Particle Filter for Model Based Audio Source Separation , 2000 .
[7] Ali H. Sayed,et al. Linear Estimation (Information and System Sciences Series) , 2000 .
[8] Mark R. Morelande,et al. Rao-Blackwellised particle filtering for blind system identification , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[9] Kevin P. Murphy,et al. Bayesian Map Learning in Dynamic Environments , 1999, NIPS.
[10] A. Doucet,et al. Particle filtering for partially observed Gaussian state space models , 2002 .
[11] Visakan Kadirkamanathan,et al. Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter , 2003, 2003 European Control Conference (ECC).
[12] Christophe Andrieu,et al. Sequential Monte Carlo Methods for Optimal Filtering , 2001, Sequential Monte Carlo Methods in Practice.
[13] F. Gustafsson,et al. Complexity analysis of the marginalized particle filter , 2005, IEEE Transactions on Signal Processing.
[14] Christian P. Robert,et al. Monte Carlo Statistical Methods (Springer Texts in Statistics) , 2005 .
[15] Rong Chen,et al. Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering , 2000, IEEE Trans. Inf. Theory.
[16] Fredrik Gustafsson,et al. Particle filtering for quantized sensor information , 2005, 2005 13th European Signal Processing Conference.
[17] Jean-Yves Tourneret,et al. Joint detection/estimation of multipath effects for the Global Positioning System , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[18] F. Gustafsson,et al. The marginalized particle filter in practice , 2006, 2006 IEEE Aerospace Conference.
[19] Thomas Bo Schön,et al. Particle Filters for System Identification of State-Space Models Linear in Either Parameters or States , 2003 .
[20] Niklas Svenzén,et al. Real Time Implementation of Map Aided Positioning using a Bayesian Approach , 2002 .
[21] Branko Ristic,et al. Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .
[22] Roger M. Goodall,et al. Estimation of parameters in a linear state space model using a Rao-Blackwellised particle filter , 2004 .
[23] Fredrik Gustafsson,et al. Recursive Bayesian estimation: bearings-only applications , 2005 .
[24] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[25] Sebastian Thrun,et al. FastSLAM: a factored solution to the simultaneous localization and mapping problem , 2002, AAAI/IAAI.
[26] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[27] Neil J. Gordon,et al. Editors: Sequential Monte Carlo Methods in Practice , 2001 .
[28] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .