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Particle filtering is an non-parameterized algorithm via sequential Monte Carlo simulation to actualize bayesian estimation. This paper expatiated the development and the research status of particle filtering at present.Then,introduces and analyses the principle of particle filtering、the existed key problems and countermeasures in detail.Furthermore,it sum up eleven improved methods of particle filtering algorithm.Meanwhile,applications are addressed in this paper.Finally ,the prospect of particle filtering is presented.

signals snr ratio by opertions

用MATLAB实现BA无标度网络、小世界网络，规则网络等复杂网络中常用的基本模型的计算机仿真程序(Using MATLAB BA scale-free networks, small-world networks, rules, networks and other complex networks commonly used in the basic model of a computer simulation program)

code to load, display and play an audio file

说明：  实现最速下降法当中的一维搜索时候的最佳步长的确定。(achieve steepest decline among law of one-dimensional search the best time to step determination.)

说明：  利用Matlab做面板数据分析（平行数据分析）的一个实例(Use Matlab to do analysis of panel data (parallel data analysis) is an example of)

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Levinson-Durbin algorithm m file

顯示WINDOWS的版本,用visual c++寫的(Show WINDOWS version, written with visual c++)

Matlab的Engine方式的C++和C#调用封装，适用于VS2003及以上版本，MATLAB7.1及以上版本(Matlab way of Engine C++, and C# calling package for VS2005, and above, MATLAB7.1, and above)