polysimu1

nonlinear separation based on MLP

说明：  产生白噪声的方法，调试通过，数据和代码都齐全。(Generated white noise method, debug through, data and code are complete.)

可以进行很多常见的平差测量计算 免去自己动手计算的麻烦(Adjustment can be many common measurement and calculation eliminates the trouble of calculating it yourself)

2009年9月全国大学生数学建模获奖论文所需程序代码，其中有较详细的matlab编程，应该有些用处吧(September 2009 Mathematical Contest in Modeling program code required for the award-winning paper, including more detailed matlab programming, it should be useful)

自己编写的基于小波变换的matlab算法，希望对大家有所帮助(I have written matlab algorithm based on wavelet transform, I hope to be helpful)

实现雷达的测速和测距，并观测雷达的多普勒效应(Achieve moving target radar speed and ranging, and realize the moving target of the Doppler effect)

说明：  MATLAB实用教程（第2版）实例源代码程序EXE0705(MATLAB Practical Guide (2nd Edition) examples source code program EXE0705)

高斯过程分类程序，运用拉普拉斯近似来实现二分类和多分类功能。(Implements Laplace s approximation for binary and multiclass classification.)

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.)

CREATE a buffer around a polygon in Matlab