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TextureAnlysis.m实现遥感图像的纹理分析，以 方向邻域内的灰度均值 和 灰度共生矩阵的熵 作为纹理特征，使用k-means聚类。(TextureAnlysis.m the realization of remote sensing image texture analysis to the direction of the gray-scale neighborhood of the mean and the entropy of gray level co-occurrence matrix as texture features, the use of k-means clustering.)

荷兰瓦格宁根大学研究的温室小气候模型，包含17个状态变化和8个控制变量，具有较高的模拟精度(a complete greenhouse microclimate model developed by wagenigen, have 17 state variables and 8 control inputs,and posses precise simulation error)

此程序代码是用matlab编制完成，要是是用无网格方法来解决圆形巷道问题(This code is compiled by matlab, if meshless method is used to solve the circular tunnels problem)

一、 牛顿－拉夫逊法概要 首先对一般的牛顿－拉夫逊法作一简单说明。已知一个变量X的函数 （4－6） 解此方程式时，由适当的近似值X（0）出发，根据 （4－7） 反复进行计算，当X（n）满足适当的收敛判定条件时就是（4－6）式的根。这样的方法就是所谓的牛顿－拉夫逊法。 式（4－7）就是取第n次近似解X（n）在曲线 上的点 处的切线与X轴的交点作下一次X（n+1）值的方法。参考图4－2（a）。在这一方法中为了能收敛于真解，初值X（0）的选取及函数f（X）必须满足适当的条件，如图4－2（b）所示的那种情况就不能收敛或收敛到别的根上去。 这一方法还可以做下面的解释，设第n次迭代得到的解与真值之差，即 的误差为 时，则 （4-8） 把 在 附近对 用泰勒级数展开 （4-9） 上式略去 以下的项 （4-10） 的误差可近似由上式计算出来 图4-2 （4-11） 比较式（4-7）和（4-11），可以看出牛顿-拉夫逊法的修正量和 的误差的一次项相等。 用同样的方法考虑，给出对n个变量 (:Because of the importance and complexity of power system, better algorithm and programme language is very important . An interior point method based on the perturbed Karush2Kuhn2Tucker (KKT) condition is pre2 sented in this paper , where the method and process for the optimal power flow is treated through the Matlab’s symbolic math toolbox and Mfunction is also presented. Using the symbolic code , it can improve the adaptability of the programme dramatically. The advantage is that , what we need to do is change the model expression. We can make use of the symbolic programme to check our programme while we write the Mfunctions. Using the Mat2 lab , we find the optimal solutions and calculate quickly and efficiently. It has proposed the powerful and unique functions of Matlab in the optimization and calculation for power system. Key words :power system symbolic calculation optimal power flow interior point method)

MATLAB+实现Arnold变换和提取(MATLAB+ achieve Arnold transformation and extraction)

Rosenblatt感知机Matlab实现算法线性分类器的第一个迭代算法是1956年由Frank Rosenblatt提出的. 这个算法被提出后, 受到了很大的关注. 感知器在神经网络发展的历史上占据着特殊的位置: 它是第一个从算法上完整描述的神经网络. 在20世纪60年代和70年代, 受感知器的启发, 工程师, 物理学家以及数学家们纷纷投身于神经网络不同方面的研究. (Rosenblatt perceptron Matlab algorithm linear classifier, an iterative algorithm is proposed by Frank Rosenblatt in 1956. The algorithms have been proposed, there have been a lot of attention. Perceptron in the history of the development of neural network occupies a special Location: It is the first complete description of the algorithm neural network in the 1960s and 1970s, was inspired by the perceptron, engineers, physicists and mathematicians have engaged in different aspects of the neural network .)

normal fit遗传算法，MATLBA编程。。。。。。。。。。。。(normal fit algorithm, MATLBA programming. . . . . . . . . . . .)

FIR数字滤波器：里面包含四部分程序，分别对一个给定的信号进行低通滤波，高通滤波，带通滤波，带阻滤波（程序有详细的注释，适合新手学习FIR型数字滤波器）(FIR digital filter: which contains four parts of the program, respectively, for a given signal low-pass filter, high pass filter, band pass filter, band stop filter (detailed comments procedures for novice learning FIR digital filter))

采用修改的Yule－Walker方程来计算ARMA模型的参数，注意，是针对随机信号； (calculat parameters for ARMA model)

simulation matlab code