LEACH

matlab在有限元中应用的源程序及命令 下载后可直接解压，不需要解压密码(in Matlab FEM application of the source and orders can be downloaded directly extracting without extracting passwords)

说明：  对mvdr算法进行MATLAB仿真，使期望信号方向增益为1，干扰方向约束为0，形成零陷，达到抗干扰的目的(MATLAB simulation of the mvdr algorithm, so that the direction of the desired signal gain of 1, by direction constraint is 0, the formation of nulls to achieve the purpose of interference)

该程序可以 实现始终设计 设置时分秒 设置闹铃 等等(Always designed to achieve the minutes and seconds to set the alarm clock set)

求解含有有限个变量的函数，维数可以是1000甚至上万维 都可以(Solving function contains a finite number of variables, dimensions can be 1000 on the World Wide Web can be even)

image and signal processing are used mostly right now. these programs is related to image processing. Image negative is used for the getting the negative image of the original image. and contrast stretching is for the give the middle value. Fast Fourier Transform program is used for the getting FFT of the signal.

this is the program for finding peak power in ofdm using selective mapping

基于wilson 的matlab分析循环(wilson matlab)

改进基本遗传算法与最大熵法结合用于图像分割(Improvement of the basic genetic algorithm combined with the maximum entropy method for image segmentation)

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.)

关于信息安全的数字水印技术，其的提取与嵌入过程！(On information security digital watermarking technology, the extraction and embedding process!)