DOA

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 documentations in French

用传输矩阵法计算一维光子晶体带隙受角度的影响(useTTM，calculating the effects of incident angle for PBG。)

huffman algorithm can be used for compression data in matlab program

说明：  STFT 实现短时加窗 傅里叶 变换 分析 可用于跳频时频分析(STFT to achieve short time Fourier transform of windowed time-frequency analysis can be used for frequency hopping)

RANSAC算法及其消除错配应用,适用于图像方面的RANSAC配准，并带有示例以帮助理解(RANSAC algorithm and its application to eliminate the mismatch, the image area of ​ ​ the RANSAC for registration, and with examples to help understand)

LibSVM code in Matlab

single channel EMG analysing

一个图像去噪的Matlab程序，可用于图像的边缘提取等工作。(Image denoising)

二阶中心差分滤波器，具有较强的跟踪性和较宽的应用范围，数值稳健 (Second-order central difference filter, with a strong track and a wide range of applications, numerical robustness)