scramble

由Manchester大学编写的电阻抗成像系统软件 版本3.3(Manchester University, prepared by the electrical impedance imaging system software)

计算Erlang B,C 模型中阻塞率与输入负载随服务器数量变化的数值关系并绘图。 模拟一个M/M/k排队系统。 该资料为通信系统排队理论matlab实验内容。(Using the iterative scheme, calculate the blocking probability of the Erlang B and C model. Draw the relationship of the blocking probability and offered traffic while sever number varies. Simulate a M/M/k queue system with input parameters of λ, μ, k)

实现matlab的figure图像嵌入到自己应用程序界面的功能，利用该方法也可以能够对于Figure图像进行个性化定义，能够使Matlab和自己的程序合为一体， 为基于matlab的可视化界面编程的混合编程有很大的借鉴意义。(Matlab implementation of the figure images embedded into their own application program interface features, using this method can also be able to personalize the image for Figure definition, able to Matlab and its own procedures for combined into one, matlab-based visual interface for programming mix programming a great learn. )

通信仿真课的源代码及具体报告设计，希望对大家有用(Communication simulation class' s source code and the specific design of the report, want to be useful)

segmenting the audio signal using this m file

马尔科夫链macro chain macro chain macro chain macro chain macro chain macro chain macro chain macro chain macro chain macro chain macro chain (macro chain macro chain macro chain macro chain macro chain macro chain macro chain macro chain macro chain macro chain macro chain macro chain )

基于Fisher的最优分割法的Matlab程序(Fisher optimal segmentation of the Matlab program)

通过小波分解的手段对时间序列信号进行降噪。内有英文说明书。 (The noise reduction of time series signals by means of wavelet decomposition . There are instructions in English.)

基于LTE技术的车地无线通信组网方案研究_孙寰宇1_顾向锋2.pdf(The technology of LTE car research networking scheme of wireless communication _ Sun Huanyu Gu Xiangfeng 2.pdf )

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)