code-5

This is MATLAB program

基于MATLAB的MUSIC算法的示例，过程简单易懂，适于新手学习(MATLAB-based examples of the MUSIC algorithm, the process simple, suitable for novice learning)

matlab多目标优化问题实现，可以参考一下啊(matlab multi-objective optimization, you can refer to ah)

编写一个可以从一幅图像中提取一幅矩形子图像的函数。(Write an image can be extracted from an image of a rectangular sub-functions.)

利用matlab编程实现的大数据处理工具，通过分析数据规律，得到其最佳分布参数(Programming using matlab big data processing tools, by analyzing the data rule to obtain the optimal distribution parameters)

drbd源文件，热备使用，与heartbeat配合使用，drbd源文件，热备使用，与heartbeat配合使用(DRBD source file, use hot standby, and heartbeat, DRBD source file, use hot standby, used with the heartbeat)

C实现应用程序框架的经典代码C application framework to achieve the classic code(C application framework to achieve the classic code)

本程序为应用小波变换进行信号压缩。由于本程序涉及到了小波变换的函数，因此可能涉及到一些时频分析工具箱的函数。程序中应用db3小波进行3层分解，选用全局阈值进行阈值处理，即对各高频系数使用同一个阈值，进行阈值处理。(This procedure for the application of wavelet transform for signal compression. Since this procedure involves the wavelet transform of the function, it may involve a number of time-frequency analysis function of the toolbox. Procedures for the application of layer 3 to db3 wavelet decomposition, selection of the overall threshold threshold treatment, that is, on the high-frequency coefficients using the same threshold, the threshold for treatment.)

上传几个关于线阵RLS算法、圆阵LMS算法、矩形波以及SNR的matlab源代码，都可以出图，希望对大家有用！(From a few RLS algorithm on the linear array, circular array LMS algorithm, as well as the SNR of the rectangular wave matlab source code, can be a diagram, useful for all of us hope!)

。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.)