identificationLS

说明：  时间序列分析模型：本程序的目的是模拟一个ARMA模型，然后进行时频归并。考察归并前后模型的变化。(ARMA)

说明：  利用C#创建窗体，通过设置按钮，同时利用按钮实现各种功能。此代码实现的功能是1、调用函数；2、显示照片，同时还能消除照片；3、通过调用MATLAB，实现图像显示的函数。(Use C# to create a form, by setting the button using the button at the same time to achieve various functions. This code implements the function is 1, call the function 2, display photos, while eliminating photographs 3, by calling MATLAB, the function of image display.)

s变换和广义s变换( s transformation and generalized s transformation)

用Matlab实现RLS算法 画出原始信号和处理后的信号进行对比 (RLS algorithm using Matlab to draw to achieve the original signal and processed signal to compare)

The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xamples). Such a larg e margin classifier seems like one we would like to use. C an’t we find it more directly? Yes, we can. The clas sifier is known as the Support Ve ctor M achine or SVM for short.

二维全息谱，专用于旋转机械故障诊断程序！(An identification method of thermal bend is presented based on the 2D-holospectrum technique.)

matlab编写的课设作业，是一个kgNAAQ游戏程序，在程序中执行QcOHusO算法，包括扫雷，纸牌，kgNAAQ等游戏的编写流程都很清晰. (matlab write class-based work, is a kgNAAQ game program executionQcOHusO algorithm in the program, including mine clearance, playing cards and other games of the preparation process is very clear. )

matlab - image processing - histogram equalization(matlab- image processing- histogram equalization)

无标度网络的传播震荡毕业设计论文和源程序，主要有无标度网络的建立及其同步特性的分析，具有群落结构的无标度网络及其同步特性分析，还包括社会网络及其同步特性的分析(Scale-free networks spread shock design graduate papers and source code, mainly to establish whether the scale-free network analysis and synchronization features, with a community structure and scale-free network synchronization feature analysis, but also include social networking and synchronization Characteristics Analysis)

matlab随机模拟和统计分析源代码，包括聚类、回归等(matlab stochastic simulation and statistical analysis of source code, including clustering, regression, etc.)