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说明：  wsn路由，用matlab仿真，具有选簇的功能(WSN routing, using matlab simulation, with the election of the functional cluster)

说明：  matlab SIMULINK Arabic tutorial part 7

对X应用贝叶斯分类，对X的前两类训练单层感知器(The classification of X application of Bias，on the X of two kinds of training single-layer perceptron)

隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

说明：  这是一篇关于GPS信号的捕获文章，采用的是DF差分相关捕获的算法，具有在较低信噪比的情况下捕获信号(This is an article about the capture of GPS signal, using the DF algorithm to capture differential associated with low signal to noise ratio in the case of capture signal)

matlab经典算法的程序之解方程，含线性方程、非线性方程的求解等程序(matlab program of classical algorithm solving equations, including linear equations, nonlinear equations and other procedures)

matlab code for How to Detect and Track Red Colored Object in LIVE Video

关于实现低通滤波器的小程序,是matlab编程的,只不过装在word文档里,只要贴到matlab的m文件里,即能实现功能.对初学者有很好的借鉴意义.(on the realization of the low-pass filter small procedures, Matlab programming. just loaded word in the document, as long as Matlab affixed to the document m, It is able to achieve functional. for beginners have a good reference.)

自己做的异步电机矢量控制模型，通过运行，验证有效，word文档中有详细的建模方法。(Do their own model of induction motor vector control, by running, verify that the effective, word document in detail the modeling method.)

ＭＡＴＬＡＢＫＡＬＭＤＥＭＯ,seeＫＡＬＭＡＮ run results(MATLABKALMDEMO, seeKALMAN run results)