feature_detection-using-corner-and-edge

MATLAB的hmm工具箱，可以计算连续HMM和离散HMM。里面有使用说明的网页链接，直接点击一下（Download HMMtoolbox）就可以了，很简单。(Hmm toolbox of MATLAB, you can calculate the continuous the HMM and discrete HMM. There are instructions for use of the web links, directly click the (Download HMMtoolbox) can very simple.)

说明：  matlab编程教程，matlab宝典是全面的查阅文献，供编程时按索引查找学习。(reference of matlab coding)

一个用于自然数编码遗传算法的工具包indexGA，以及用这个工具包实现的车辆路径优化问题的算法例程(One for the natural number-coded genetic algorithm toolkit indexGA, and use this tool kit to achieve VRP algorithm routine)

Feature Extraction from eeg

matlab实现的模式识别的分类器：fisher 与bayes 分类器，实现男女性别的分类.(matlab implementation of the pattern recognition classifier: fisher and bayes classifier, to achieve gender classification.)

由于传感器自身以及通信延迟等原因, 使得异步多传感器数据融合问题比同步问题的研究更 切合实际。 对连续时间系统在融合中心和各传感器节点分别进行异步离散化处理,离散后过程噪声与测 量噪声以及测量噪声之间相关,虽然相应连续时间系统中的噪声是不相关的。 最后推导了相关噪声情况 下的异步融合算法,仿真结果说明了算法的有效性。(Due to t he r easons of senso rs in it self and the communication delays, the r esearch of t he asy nchr onous multisensor da ta fusion pr oblem is mo re pr actical than t hat o f synchro no us one. Firstly t he continuo us-time system is discr etig ed in the fusio n center and all t he senso r nodes w it h differ ent sample interv al. T hen the measurement no ises are fo und to be co r related with each other and t he pr o- cess noise tho ugh the no ises of t he co rr espo nding continuo us-time sy st em ar e unco rr elat ed. Finally an asy nchr onous fusion algo r ithm is pr esented for the cor r elat ed noises case. Simulatio n results show t he v alidity o f the presented a lg or ithm)

nice code for filter colors in image

ome numerical calculation using matlab code, suitable for novice matlab and digital computing use, according to the ideological preparation of matlab matrix, for beginners to grasp a better matlab programming ideas useful...

基于FFT的图像拼接程序，matlab实现的(Based on the FFT of the image mosaic program, matlab achieved)

简单的求解tsp问题，比matlab demo中的更细，用的是蚂蚁算法。(Tsp solving simple problems, matlab demo than in the more detailed, using the ant algorithm.)