tuyi

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

该算法是lte上行链路的方针，对于初学者有一定的帮助。(The algorithm is LTE Uplink policy, have some help for beginners.)

基于短时能量的语音信号端点检测MATLAB源代码(Speech signal based on short-term energy source endpoint detection MATLAB)

matlab仿真电机直接转矩控制程序，有兴趣可以研究下(matlab simulation motor direct torque control procedures, are interested in can be studied under)

function Luv_back = rgb2luv(Im_rgb) takes an image in Rgb coords and returns either a vector or an image in Luv coords, depending on Type (Image or vector).

sur method for seemingly unrelated regression

RVM的工具箱,包含拟合，退化预测，分类的源程序和例子。(RVM toolbox, including fitting, degradation prediction, classification of source code and examples.)

基于matlab车辆文字识别处理方法(Matlab vehicles based on text recognition processing method)

生成矩阵,类似于excel，方便数据的输入和输出，自动生成(this program can make out a y,it can help you to make a arry,you can load it,it is useful, thank you)

说明：  EMD降噪程序，与stanford开发的小波工具箱和小波降噪工具箱联合使用！(EMD noise reduction procedures, and stanford Development Toolbox Wavelet Toolbox and Wavelet combination!)