HFS-algorithm

用matlab编程实现经典游戏俄罗斯方块。(Matlab programming with the classic game Tetris.)

说明：  自适应滤波和仿真实验，有毕设的同学可以参考下(Adaptive filtering and simulation experiments, there is complete set up for students to refer to the following)

水印的MATLAB傅立叶算法 有较强的鲁棒性能(watermarking algorithm MATLAB Fourier a strong robust performance)

适合有一定基础的学生学习，简单的小例子，关于电机的使用方法的介绍(There is some basis for students to learn, simple little example, with regard to the introduction of the use of motor)

unsteady heat conduction in a plate

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

利用主成分分析和K-means聚类实现聚类的Matlab算法(principle component analysis and then use k-means clustering algorithm to realize the clustering)

power_SLmodeling.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_SLmodeling.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

image compression using wavelets

这个m-文件允许你导出所有在命令窗口中的文本到字符串单元阵列，每个条目是一个从窗口文本行。未分析的原始字符串也可以，如果需要的话。 操作非常简单 -使用findjobj功能（操作要求），此文件查找在根窗口，并得到适当的对象从文本。 我一直在寻找一种方式做，特别是一些软件中的错误我始终跟踪这，似乎已经没有人写了这种方法，所以我现在在这里供您使用。 这是一个有点慢，有可能是一个特定类寻找更快的方法- 如果这样，让我知道！(This m-file allows you to export all text in the Command Window to a cell array of strings, each entry being a line of text from the window. The unparsed raw string is also available, if desired. Operation is very simple- using the findjobj function (required for operation), this file looks for the appropriate object in the root window and gets text from it. I was looking for a way to do this, particularly for error tracking in some software I maintain, and nobody seemed to have written up this method, so I present it here for you to use. It s a bit slow, there is probably a quicker way of looking for a specific class- if so, let me know!)