matlab

快速doa估计方法，包含线阵和平面阵，但精度不是很高(Quick doa estimation methods, including linear array and planar array, but not very high accuracy)

说明：  计算机视觉中基本矩阵F估计的matlab程序，很有用(F fundamental matrix in computer vision estimates matlab program, very useful)

基于MATLAB的ofdm系统仿真m文件(MATLAB-based simulation ofdm m files)

matlab 实现leach 实验仿真算法(matlab leach )

常胜将军 :在计算机后走的情况下，要想使计算机成为“常胜将军”，必须找出取 关键。根据本题的要求枷以总结出，后走一方取子的数量与对方刚才一步取子的数量之和等于，就可以保证最后一个子是留给先取子的那个人的。(Ever Victorious General: On the computer where to go, in order to make the computer become " Ever Victorious generals" must be taken to find the key. According to the requirements of this title thoughts to conclude that one party to take the child away after the number of step with each other just to take the child and is equal to the quantity, we can ensure that a child is left to the first final to take the child of that individual.)

说明：  MIMO系统中的经典的V-Blast代码，是一位博士写的，作为我的程序参考资料用的。运行过，正确无误。(MIMO system, the classic V-Blast code, written by a PhD, as my reference material used in the procedure. Run over, correct.)

P+XS image fusion matlab file

用于蛋白质数据生成分类数据的转换。做PSS（Protein Secondary Structure prediction)的可以参考一下。 (for protein production data disaggregated data conversion. Do PSS (Protein Secondary Structure prediction ) can be examined.)

说明：  一个永磁同步电动机的滑模观测器仿真模型，可以很好的实现位置跟踪与控制。(A simulation model of sliding mode observer for PMSM can realize position tracking and control well.)

说明：  利用Matlab软件平台对JTC进行了图像识别仿真实验，得到了二维及三维相关输出图像，显示出尖锐的相关峰。仿真实验表明：联合变换进行图像识别中存在强烈的零级干扰，干扰信号是有用信号的7.14倍，输出结果不理想；采用功率谱相减法可以消除零级强干扰，进而提高了图像的识别能力。(Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the correlation image are obtained. In the simulation experiments, the sharper correlation peaks are showed. The result shows that strong disturbance of zero rank exists in the simulation of JTC, and it is 7.14 times stronger than the useful signal thus, the power spectrum subtraction is used to eliminate the strong disturbance, and the capacity of image recognition is improved.)