huffman

说明：  一个很不错的PLS工具包 带gui界面 里面 有详细使用帮助。(pls gui)

svmlight-2.51工具包，在matlab7.9.0（R2009b）环境下调试通过。里面包含了几个实用的例子可供参考。(svmlight-2.51 kit, in matlab7.9.0 (R2009b) environment through debugging. Which contains several practical examples for reference.)

严重降水指数是干旱分析领域的重要指标 Severity Precipitation Index is very useful for drought analysis field

机械优化设计中的最速下降法通用函数，步长和初始点给定即可(The function of opt_gard.)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

matlab program for EMG

计算最大李雅普诺夫图，来分析微分方程的分岔情况(To calculate the largest Lyapunov Figure to bifurcation analysis of differential equations)

信号检测理论——线性调频信号的匹配滤波处理(Signal detection theory- matched filtering LFM)

对图像进行分块编码，总共分四块，在matlab7.0中验证可行(Block coding of images, a total of four points in the matlab7.0 verify possible)

simple merge sort program