Lab3

musc this program calculates arrival

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

说明：  在matlab环境下利用bp网逼近某青霉素发酵过程。(Bp network approximation using a penicillin fermentation process.)

CheckMate is a MATLAB-based tool for modeling, simulating and investigating properties of hybrid dynamic systems. Hybrid systems are modeled using the Simulink graphical user interface (GUI). Parameters and specifications are entered using both the Simulink GUI and user-defined m-files. CheckMate commands are entered in the MATLAB command window. (CheckMate is a MATLAB-based tool for modeling, simulating and investigating properties of hybrid dynamic systems. Hybrid systems are modeled using the Simulink graphical user interface (GUI). Parameters and specifications are entered using both the Simulink GUI and user-defined m-files . CheckMate commands are entered in the MATLAB command window.)

边缘检测对于图像理解、目标检测、跟踪等问题非常重要，该代码实现了canny算子做边缘检测(Edge detection for image understanding, target detection, tracking a very important issue, the code implementation of the canny edge detection operator to do)

支持向量机的一些代码合计，本人学习是使用，为matlab学习者提供帮助(SVM some code together, I am learning is used to help learners matlab )

Matlab interface for the image segmentation algorithm of Efficient Graph-Based Image Segmentation Pedro F. Felzenszwalb and Daniel P. Huttenlocher International Journal of Computer Vision, 59(2) September 2004.

牛頓案例，主要是以matlab軟件來運算標準題型。(Newton s case, mainly matlab software to compute the standard questions.)

该程序包实现了VBLAST结构的传输下，接收端采用ZF、ZF_SIC、MMSE、MMSE-SIC等检测算法时误码率和信噪比的性能比较(The package implements the transmission of VBLAST structure, the receiver with ZF, ZF_SIC, MMSE, MMSE-SIC detection algorithm for error rate and SNR performance comparison)

按照《双色球EXCEL全攻略》用matlab重写的双色球统计程序。(A lottery Predicting program developed with matlab.)