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雷达信号到达角估计的MATLAB代码，进行了多参数的对比仿真和结果比较(Radar signal DOA estimation MATLAB code for the comparison of simulation and multi-parameter comparison results)

在MATLAB环境下四个实验,压缩解压以便日后使用(change picture)

ANSI input 5p2 implementation

一种具有提示功能的文本框，可以根据实际使用进行重新，具有很好的参考价值(A text box with prompts that can be re-based on actual use, a good reference value)

说明：  基于MATLAB和VC++6.0制作的车牌定位系统，做毕业设计的朋友可以参考参考(MATLAB and VC++6.0 based on production of license plate positioning system, the final project can refer to refer to a friend)

This sample demonstrates using the Microsoft Video Control to view ATSC digital television in a window. This is a simple ATL application that merely hosts the control and allows you to adjust the channel up or down. When CPPVideoControl launches, it will look for an ATSC Network provider on your system. If a working tuner is found, CPPVideoControl builds the digital television filter graph, tunes to channel 46, and displays the broadcast signal. It may take several seconds to completely build the digital television filter graph, so please be patient.

说明：  可以测试系统存在的漏洞 大家可以学习源码，打开应用程序 这是自己原创(Can test the existence of loopholes in the system that we can learn from source code, open the application, this is their own original)

在WINDOWS环境下，使用MATLAB写的PCA代码，移植性好，对于做PCA的能方便使用！(In the WINDOWS environment, the use of PCA written in MATLAB code, portability, and for doing the PCA can easily use!)

说明：  遗传算法进行线性规划优化，可用于多个方面(Linear programming optimization of genetic algorithm can be used in many areas)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)