adaptive--beam-forming

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 -此文件查找在根窗口，并得到适当的Java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。(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- this file looks for the appropriate java 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.)

This thesis describes methods for solving certain optimization problems commonly arising in computer vision by PETTER STRANDMARK

MATLAB优化工具箱使用教程，含有具体应用与实例(MATLAB optimization toolbox tutorial, containing specific applications and examples)

有关聚类的一些例子，主要是用人工数据点进行分类(Some examples of the relevant cluster, is mainly used to classify artificial data points)

说明：  高斯滤波是一种较常见的滤波方法，它能有效滤除高斯白噪声的影响。(Gaussian filter is a common filtering method can effectively filtered Gaussian white noise.)

its an rectifier circuit with PWM PI control technique for high accuracy and better output with very low THD.

this simulationto make table

：VB与Matlab混合编程方法，通过建立VB与Matlab间的ActiveX连接，实现VB应用程序中调用Matlab， 建立与Matlab ActiveX服务器的连接。该方法通过利用ActiveX技术、应用DDE与Matlab通讯、使用MatrixVB、 生成执行文件、编译动态链接库等步骤实现(: VB and Matlab programming mix, VB and Matlab through the establishment of connection between the ActiveX, VB application, call the realization of Matlab, the establishment and Matlab ActiveX server. The method is through the use of ActiveX technologies, applications and Matlab DDE communication, the use of MatrixVB, generated executable file, compiled dynamic link libraries and other steps to achieve)

。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数，其性能略优于最小 均方误差判决反馈均衡算法。(. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms MATLAB simulation results show that LMS adaptive equalization algorithm as effective with Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum Mean square error decision feedback equalization algorithm.)

多天线环境下 使用注水法则 显示ergodic容量vs_snr(capacity_vs_snr_ by using waterfiling algorithm and in te multiple antenna condition)