matlab6.5imageproces

使用matlab仿真汉诺塔的搬运情况，用户自由输入需要搬运的盘子的数量，打印出搬运过程(simulation using Matlab HANOR removal of the user freedom to import needs removal of the dishes in quantity, Print out removal process)

matlab 学习技巧，现在把我用的，也就是对我帮助很大的留个文件传上去，希望对大家有用，第五高级编程应用(matlab learning skills, and now I use, which is a great help to me to leave a document passed up, we want to be useful, the fifth high-level application programming)

用MATLAB　实现一简单的数字（0--9）识别程序，非常好的源码。(Using MATLAB to achieve a simple number (0- 9) identification procedures, a very good source.)

matlab教程ppt 第5章 MATLAB数据分析与多项式计算(the ppt about of matlab)

matlab实现，绘制二维及三维HHT谱图(Matlab implementation, draw 2D and 3D HHT spectrum)

图像灰度变换，用matlab编程对图像的灰度值进行改变处理(matlab Image gradation processing)

功能是在有潮流约束，碳排放约束，电压和无功约束等条件下的发电权交易模型，采用基于约束松弛变量策略的中心校正内点法求解(There is a trend in the function generation right transaction model under conditions of constraint, carbon constraints, voltage and reactive power constraints, using slack variables to solve the constraint-based policy center corrector Interior Point Method)

利用构造函数法和线性回归算求一一维微观形貌的分形维数可直接使用。 (The constructor method and linear regression operator seeking the eleven-dimensional morphology of the fractal dimension can be used directly.)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

matlab的另一个功能就是应用在图像处理上。有强大的能力处理图像。希望对读者有很大的帮助(Another feature is the application of matlab in image processing. Has a strong ability to handle images. Hope to be very helpful to readers)