program

扩频通信，从电磁波利用来看，与一般现有的常规通信方式完全不同。扩频通信利用伪随机编码把信息数据（窄带信号）的频谱进行扩展，形成宽带的低功率谱密度信号发射，使用不同的伪随机序列编码，不同通信用户可在同一频段、同一时间工作，互不影响或干扰极小地进行通信。(Spectrum, from the electromagnetic waves used term, and the general existing conventional means of communication is entirely different. Spread spectrum communication using pseudo-random code to the information data (narrowband signal) to extend the spectrum, the formation of low-power spectral density broadband signal transmission, using different pseudo-random sequence of coding, different communication users at the same frequency band, at the same time work, mutual does not affect or interfere with a very small way to communicate.)

有关matlab 软件学习的书籍(Matlab software to learn about books)

用matlab进行平动点轨道的绘制，halo轨道绘制，三维曲线(Libration point orbit of halo rendering, 3D curve)

一种用于信道均衡的盲均衡恒模算法,具有较好的ISI和较快的收敛速度(One for channel equalization of constant modulus blind equalization algorithm, the ISI has a good and fast convergence rate)

说明：  用simulink搭建的LMS自适应滤波器仿真模型，系统用分立的模块搭建，对理解LMS自适应算法有很好的帮助。(Built by LMS adaptive filter simulink simulation model, the system built with separate modules on the LMS adaptive algorithm has a good understanding of the help.)

说明：  hough变换原理和公式 检测边缘 和MATLAB程序代码(hough transform theory and MATLAB code)

该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法(Support Vector Machine Matlab Toolbox 1.0 Platform : Matlab6.5/Matlab7.0 Reference : Chih-Chung Chang, Chih-Jen Lin. "LIBSVM: a Library for Support Vector Machines")

我自己编写的一个简单的粒子滤波跟踪代码。希望能对初学者有所帮助(I write a simple particle filter tracking code can hope to help beginners)

自回归模型的阶数确定：包括基于残差、基于AIC和基于BIC这三种确定方法；以及自回归模型参数估计算法。(Since the order of the regression model to determine: including those based on residuals, AIC and BIC determine which method is based on three and self-regression model parameter estimation algorithms.)

magnetic levitation state feedback controle