matlab

利用大津算法对焊点图像进行分割，去除多余噪声(Solder joint image segmentation using Otsu algorithm to remove the excess noise)

Factory class for creating an XPath. Implementors of XPath derivatives will need to make a derived class of this. @xsl.usage advanced.

说明：  可以通过输入刚度或阻尼数组，生成刚度（阻尼）矩阵。(The stiffness (damping) matrix can be generated by input stiffness or damping arrays.)

关于电力系统最优潮流计算的MATLAT程序.可以实现最优潮流的.(on the optimal power flow calculation MATLAT procedures. Can achieve optimal power flow.)

A cyclic redundancy check (CRC) is an error-detecting code commonly used in digital networks and storage devices to detect accidental changes to raw data.

VC和Matlab混合编程总结 VC和Matlab混合编程总结(VC and Matlab programming concluding mixed mixed VC and Matlab programming summary)

OFDM中的关于交织器的个人设计的MATLAB的算法，比较经典的 ！(OFDM on the intertwined with the personal design of MATLAB algorithm, more classic!)

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

modulation en amplitude ASK

用于kalman的设计，为初学者提供一个很好地基础程序，能很好的理解Kalman算法。(For the design of Kalman, provides a very good basic program for beginners, can be a good understanding of Kalman algorithm.)