Untitled

说明：  中位数近似算法实现的背景减除。matlab代码。(Median approximation algorithm for background subtraction. matlab code.)

基于回溯法的TSP问题解决方案，附有TSP问题相关的c++和matlab解法资料，及工程文件（西电02105143）(Solution of TSP problem based on the backtracking with TSP problem related to c++ and matlab solution data and project files (Western Electric 02105143))

请点击1.m运行文件（运行环境为matlab2008a） 注：不可直接运行1.fig 需使用1.m文件 附：输入各设备及物流量子窗口参数信息说明：请依次输入该零件所需的设备号，两个y设备号之间填入这两个设备间的物流量，例如一个零件需要的设备一次为3，5，7，其中3和5的物流量为10，5和7的物流量为20，则应按如下的格式输入3，10，5，20，7。只需输入数字即可，无需输入标点符号。且零件的排序为最下面的一行为零件1，向上依次递加。">

常用的分形图像的生成程序，算法为确定性算法。(interpolation)

说明：  经典的信号稀疏分解算法MP的实现。随着迭代次数增大，恢复的信号越精确。(The classic signal sparse decomposition algorithm MP . With the number of iterations increases, the more accurate the signal is recovered)

3个CPU调度算法的simulation. 分别是Short Job First,High Return Ration Next, Round Robin. 模拟得到R,U,S等重要指标。(3 CPU scheduling algorithm of the simulation. Were Short Job First, High Return Ration Next, Round Robin. Simulated R, U, S and other important indicators.)

Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance predictable from the theoretical properties of the tracker? If so, that s a valuable observation that will serve you well in the future

matlab环境下的人脸识别，采用肤色识别算法，检测好用(face tracking)

计算golden sequence的自相关，ACF_of_PN_Sequence(ACF_of_PN_Sequence)

MAtlab SVM神经网络的信息粒化时序回归预测(Information granulation timing SVM neural network regression prediction)