Particle Filtering: The Need for Speed
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[1] Matthew Papakipos,et al. Pseudorandom number generation on the GPU , 2006, GH '06.
[2] Tom Davis,et al. OpenGL(R) Programming Guide: The Official Guide to Learning OpenGL(R), Version 2 (5th Edition) (OpenGL) , 2005 .
[3] Matt Pharr,et al. Gpu gems 2: programming techniques for high-performance graphics and general-purpose computation , 2005 .
[4] Petros G. Voulgaris,et al. On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..
[5] A. Matteis,et al. Parallelization of random number generators and long-range correlations , 1988 .
[6] Branko Ristic,et al. Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .
[7] Jun S. Liu,et al. Mixture Kalman filters , 2000 .
[8] Cedric Nishan Canagarajah,et al. Mobility Tracking in Cellular Networks Using Particle Filtering , 2007, IEEE Transactions on Wireless Communications.
[9] Chih Jeng Kenneth Tan,et al. The PLFG parallel pseudo-random number generator , 2002, Future Gener. Comput. Syst..
[10] A. Jazwinski. Stochastic Processes and Filtering Theory , 1970 .
[11] Mark D. Hill,et al. Amdahl's Law in the Multicore Era , 2008, Computer.
[12] Coniferous softwood. GENERAL TERMS , 2003 .
[13] Gergely V. Záruba,et al. Incorporating Data from Multiple Sensors for Localizing Nodes in Mobile Ad Hoc Networks , 2007, IEEE Transactions on Mobile Computing.
[14] Thomas B. Schön,et al. Marginalized particle filters for mixed linear/nonlinear state-space models , 2005, IEEE Transactions on Signal Processing.
[15] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[16] Michael Mccool. Signal Processing and General-Purpose Computing and GPUs [Exploratory DSP] , 2007, IEEE Signal Processing Magazine.
[17] Petar M. Djuric,et al. Resampling algorithms and architectures for distributed particle filters , 2005, IEEE Transactions on Signal Processing.
[18] Krishnendu Chakrabarty,et al. Distributed Mobility Management for Target Tracking in Mobile Sensor Networks , 2007, IEEE Transactions on Mobile Computing.
[19] G. Hendeby,et al. Performance and Implementation Aspects of Nonlinear Filtering , 2008 .
[20] Tom Davis,et al. Opengl programming guide: the official guide to learning opengl , 1993 .
[21] Josef Stoer,et al. Numerische Mathematik 1 , 1989 .
[22] Michael D. McCool. Signal Processing and General-Purpose Computing on GPUs , 2007 .
[23] Fredrik Gustafsson,et al. Particle filters for positioning, navigation, and tracking , 2002, IEEE Trans. Signal Process..
[24] Sebastian Thrun,et al. FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges , 2003, IJCAI.
[25] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[26] Jim X. Chen,et al. OpenGL Shading Language , 2009 .
[27] Juan José Pantrigo,et al. Particle filter on GPUs for real-time tracking , 2004, SIGGRAPH '04.
[28] Fredrik Gustafsson,et al. A graphics processing unit implementation of the particle filter , 2007, 2007 15th European Signal Processing Conference.
[29] Simon Maskell,et al. A Single Instruction Multiple Data Particle Filter , 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.
[30] F Gustafsson,et al. Particle filter theory and practice with positioning applications , 2010, IEEE Aerospace and Electronic Systems Magazine.
[31] Randi J. Rost. OpenGL(R) Shading Language (2nd Edition) , 2005 .
[32] Qiang Yang,et al. Reducing the Calibration Effort for Probabilistic Indoor Location Estimation , 2007, IEEE Transactions on Mobile Computing.
[33] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[34] Yaakov Bar-Shalom,et al. Estimation and Tracking: Principles, Techniques, and Software , 1993 .
[35] G. Kitagawa. Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models , 1996 .