particle-Filter-Examples

槽轮轮廓的设计计算与绘图 优化槽轮轮廓的设计参数(Cam profile design calculation and drawing the design parameters optimized cam profile)

几个关于混沌的matlab程序例子，直接可用，带详细注释，欢迎交流。(Several   chaos matlab examples, directly available, with detailed comments, welcome to communicate.)

bsp_plot ECG this is code for plot ECG

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

利用粒子群算法， 求一个二维函数的最大值。(The use of particle swarm algorithm, the maximum value for a two-dimensional function. )

蒙特卡洛算法的仿真源代码 介绍了蒙特卡洛仿真的基本思想 并附带了一些具体例子(monteCarlo resources code in the matlab )

用MATLAB实现SAPSO、SecPSO、SecVibratPSO算法，程序没错误，可以直接运行，非常适合刚学PSO者(Implementation of SAPSO, SecPSO, SecVibratPSO algorithm with MATLAB, the program no error, can be directly run, very suitable for just learning PSO )

一种自己设计的贝叶斯分类器,具有一定的参考价值(A kind of self-designed Bayesian classifier, with some reference value)

最短路这个说明倒不是说明函数的功能，只是声明一下函数中出现的问题。 shortest()函数没有问题，在secshortest中我希望只得到一条次短路（或几条roadcost()值相同的次短路），结果却出来好几条，我仔细检查了一下程序，应该没有什么问题。 因此在使用时，要得到次短路，只能用roadcost()函数分别求一下各条路的权重和，找到最小的。 有些奇怪 (short path)

用于同时观察信号在时域和频域中的变化以及信号中的不同频率成分随时间的变化(For the simultaneous observation of different frequency components in the time domain and the signal spectrum of the signal changes over time)