ODE45pid

国外写的meanshift找聚类中心和类别数目的源程序，有实例，可直接使用(Meanshift looking abroad to write the number of cluster centers and the type of source, there are instances, can be used directly)

自已做的直扩系统的simulink仿真，包括信号源的生成，捕获与跟踪，解扩解调全过程(To do their own DS systems simulink simulation, including the signal source of the generation, capture and track the entire process of despreading demodulation)

对多天线系统进行了系统的分析。多发射天线，多接收天线。(mimo system analysis)

关于压缩感知使用的凸优化工具包，非常实用，基于OMP的压缩感知。能够有效的压缩信息。(About compressed sensing using convex optimization toolkit, very practical, perception-based compression OMP. Can effectively compress the information.)

简单的自己写的matlab例程，适合初学者使用下载快速掌握图像处理。(Matlab write their own simple routines for beginners download quickly master image processing.)

参照CCSDS标准的RS编码 交织深度参照CCSDS标准(Refer to the RSS standard of the CCSDS standardInterweaving depth refers to the CCSDS standard)

三维齿轮运动仿真 非常形象 逼真 适合matlab大牛(inter gear )

说明：  将信号转换至FRFT域的函数，算是比较好用的一个集合吧(Converting signals to functions in FRFT domain is a better set.)

pca 算法的matlab实现 与大家一起分享(PCA algorithm matlab to share with everyone)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)