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全相位离散频谱校正的matlab程序，能得到多频率信号的频率，幅值，相位。(All Phase discrete spectrum correction matlab program, to get multi-frequency signal frequency, amplitude and phase.)

DRROBOT I90的基本應用以及智慧型影像錄相機無線移動系統(The basic application DRROBOT I90, and intelligent video recorder wireless mobile systems)

this code extract dense samples for human action recognition

着是一个MATLAB中的图形合并的程序，也有不完善的地方，请指教！(with MATLAB is a graphic merger procedures have imperfections, please enlighten! Thank you)

通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检 测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.(M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori (MAP) detection to the error rate, making BER ~ SNR curves obtained with the theoretical curve of the combined fit.)

基于windows的任务管理器开发设计 windows task mananger(Based on the windows task manager development and design windows task mananger)

牛顿环 杨氏双缝的MATLAB代码，很实用，很准确(Young' s double-slit Newton ring MATLAB code, very practical, very accurate)

用matlab来实现傅叶定理，出现高通与低通的图片。(Using MATLAB to achieve the Fourier theorem, appear high and low pass.)

GUI示例,包括基本的GUI和右键弹出菜单的简单例子(GUI examples, including basic GUI and a simple example of the context menu)

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.)