reference

代码说明：

  粒子滤波入门外文经典文献，非常值得一看，有助于理解基本粒子滤波算法。(Particle filter entry of foreign classic literature, well worth a look, help to understand the elementary filtering algorithm.)

文件列表：

reference
.........\A Tutorial Introduction to Monte Carlo Methods, Markov Chain Monte Carlo and Particle Filtering.pdf,1282059,2015-07-29
.........\A Tutorial on Particle Filters for Online Nonlinear Non-Gaussian Bayesian Tracking.pdf,372200,2015-07-18
.........\Bayesian Filtering From Kalman Filters to Particle Filters, and Beyond.pdf,1205564,2015-08-14
.........\Beyond the Kalman FilterParticle filters for tracking applications.pdf,519363,2015-08-16
.........\Improved_auxiliary_particle_filtering_Application_to_time-varying_spectral_analysis.pdf,188887,2015-08-22
.........\Neural Networks and Learning Machines (3rd Edition).pdf,14371112,2015-08-16
.........\On resampling algorithms for particle filters.pdf,256720,2015-08-16
.........\Probabilistic Robotics.pdf,2907859,2015-08-16
.........\Resampling Methods for Particle Filtering.pdf,1644747,2015-07-02
.........\Tutorial on Monte Carlo Techniques.pdf,297517,2015-07-25
.........\粒子滤波理论.doc,987648,2015-07-02
.........\马尔科夫链蒙特卡洛方法.pdf,567867,2015-08-04