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Mobile Robot Model + Code + Docs in Matlab

小区初搜为GSM系统中的一个关键过程，本程序为GSM小区初搜过程查找并解广播控制信道bcch的matlab程序，输入数据由采样数据得到，在转换成所需格式后进行处理。若其中包含bcch,则输出找到信息，并通过解调译码等工作解其中信息信息。若没有，则发出错误信息。内付算法详细说明文档(Area early in the search for the GSM system, a key process, the procedures for the GSM cell and the beginning of search process to find solutions BCCH Broadcast Control Channel of matlab procedures, input data from the sampling data, converted into the desired format in the post-treatment. If one includes bcch, while the output to find information and work through the demodulation decoding information in which information solutions. If not, then send a wrong message. Pay the algorithm in detail within the document)

All command in Matlab/R

SEP [Matlab code source]: A Stable Election Protocol for clustered heterogeneous wireless sensor networks

matlab欧式看涨期权定价，内附有两种代码算法，适合matlab初学者(the matlab European call option pricing)

文件包含三个子文件：dec.m,test_dec.m,recon.m dec.m文件使用MATLAB语言自己动手编写小波分解算法； test_dec.m使用MATLAB语言测试dec.m文件中自己编写的小波Mallat分解算法正确性 recon.m使用MATLAB语言自己动手编写Mallat重构算法 函数使用MATLAB语言，没有调用MATLAB小波分解函数，而是自己动手编写的小波Mallat算法对含噪声的信号进行分解、重构；这对对小波分解的初学者，加深对小波分解有着引导作用。(The file contains three sub file: dec.m, test_dec.m, recon.m The dec.m file using the MATLAB language to write my own wavelet decomposition algorithm Wavelet Mallat test_dec.m using MATLAB language test in the dec.m file to write your own decomposition algorithm correctness Recon.m uses the MATLAB language to write my own Mallat reconstruction algorithm Function of the use of MATLAB language, do not call the MATLAB wavelet function, wavelet Mallat algorithm but prepare yourself for decomposition and reconstruction of signals containing noise this pair of wavelet decomposition for beginners, deepen their understanding of the wavelet decomposition has a guide role.)

Etalonnage des photos: sterioscopie

用DB4小波进行多尺度分解，分解级数为6层的降噪程序(DB4 Wavelets )

利用正交法求解LYAPUNOV指数的一般方法，希望能帮助做混沌判断的人(Method using orthogonal LYAPUNOV index general approach, hoping to help people make judgments of Chaos)

从先验概率中采样，计算权重，可实现对二维数据的聚类，采用偏最小二乘法，仿真效果非常好，随机调制信号下的模拟ppm，是机器学习的例程。( Sampling a priori probability, calculate the weight, Can realize the two-dimensional data clustering, Partial least squares method, Simulation of the effect is very good, Random ppm modulated analog signal under Machine learning routines.)