niefen_V0.1

k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(k-means algorithm accepts input k then n data objects into k clusters in order to make clustering satisfy obtained: the objects in the same cluster high similarity different clustering object similarity small. Cluster similarity is the use of the mean of each cluster of objects that get a " central object" (center of gravity) to perform the calculation.)

案例为运用最有控制原理，实现对火星探测器小推力变轨的控制实现。应用matlab仿真实现(Case for the use of the most control theory, to achieve the low-thrust orbit Mars probe control implementation. Application of matlab simulation)

用振幅为0.8的方波进行傅里叶分析，并求当K不同值时的合成信号。(By amplitude of 0.8 square wave to Fourier analysis, and pray for different value when K synthetic signal. )

matlab code for machine learn duda

非线性振动分析计算程序，以轴承部分参数为变量的分叉图(the calculation program of the analysis of nonlinear vibration)

说明：  利用蒙特卡洛方法来计算信噪比与误码率的关系(Monte carlo method is used to calculate the relationship between SNR and bit error rate)

signal processing,signal processing

半监督覆盖程序，相关问题参加粗糙集条件属性约简程序，相关问题参加粗糙集条件属性约简程序，相关问题参加粗糙集(jueceshuxing)

surface acoustic wave for filter correlation

Digital Signal Processing Using MATLAB 3rd Edition-Slicer.pdf