matlab_几乎涵盖了所有命令，很全，很实用！

matlab的滤波方法有很多，该包中几何了中指滤波，维纳滤波，领域平均法滤波。(matlab has a lot of the filtering method, the package geometry of the middle filtering, Wiener filtering, average filtering fields.)

Nonstationary Channel Estimation using a Kalman Tracking Filter 卡尔曼滤波算法的一个一个用，可用作 efk学习之用(Nonstationary Channel Estimation using a Kalman Tracking Filter Kalman filter algorithm one by one, and can be used as a learning efk)

music算法第四中情况,具体情况看程序中估计的源的个数与实际个数之间关系(music algorithm fourth situation, the specific situation of the proceedings estimated the number of sources and the actual number between)

2011年秋季 北京航空航天大学惯性导航原理第二次大作业(2011 inertial navigation the second homework of beihang university )

a phase delay code, a matlab source code

用于视频车辆检测，使用matlab语音，测试结果准确率达90 (For video vehicle detection, the use of matlab voice, test results are accurate 90 )

matlab程序，远程监控系统中远程文件传输的代码，包括传输双方的代码(matlab program, the remote monitoring system, remote file transfer code, including the code of the transmission of both)

各种LBP算法的代码，可以只管看到中间结果，不需要生成直方图(Various LBP algorithm code, you can just see the intermediate results, no need to generate a histogram)

基于UKF的自行车状态估计matlab程序实现(Realization of Bicycle State Estimation Based on UKF with MATLAB Program)

资源描述While image alignment has been studied in different areas of computer vision for decades, aligning images depicting different scenes remains a challenging problem. Analogous to optical flow where an image is aligned to its temporally adjacent frame, we propose SIFT flow, a method to align an image to its nearest neighbors in a large image corpus containing a variety of scenes. The SIFT flow algorithm consists of matching densely sampled, pixel-wise SIFT features between two images, while preserving spatial discontinuities. The SIFT features allow robust matching across different scene/object appearances, whereas the discontinuity preserving spatial model allows matching of objects located at different parts of the scene. Experiments show that the proposed approach robustly aligns complex scene pairs containing significant spatial differences. Ba