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汉明码（7，3）的matlab仿真，学习差错控制编码编码的入门经典(hamming (7,3)matlab simulation ,is a typical introduction of error control coding)

本书共分5篇48章。主要介绍MATLAB提供的统计、优化、偏微分方程数值解、样条和曲线拟合等5个与工程计算关系密切的工具箱。其中统计工具箱、优化工具箱、偏微分方程数值解工具箱和样条工具箱的介绍在国内图书中最全面，并且实例丰富，本书的内容紧随版本的最新变化。(Matlab Engineering Mathematics)

这是QAM信号和PSK信号产生程序，可以生成16-QAM,32-QAM,64-QAM和M进制psk信号。(This is PSK and QAM signals a process can generate 16-QAM ,32-QAM. 64-M and 229 QAM signals psk.)

Turbo码的仿真程序，用matlab编写，是一个很新的程序(Turbo Codes simulation program used to prepare Matlab is a very new procedure)

说明：  使用软件的实现EQ均衡器算法，可以调节多段EQ(The realization of the use of software EQ EQ algorithm can adjust the multi-segment EQ)

Speech Noise estimate

说明：  该算法适用于各种非线性，非平稳的信号，对于数据的分析较透彻。(The algorithm is suitable for various non-linear and non-stationary signals, and the data analysis is more thorough.)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

gauss法Gauss-SeidelGauss-SeidelGauss-SeidelGauss-Seidel(gauss Gauss-Seidel Gauss-SeGauss-Seidelidel Gauss-Seidel)

用matlab实现谐波和成法模拟风场，多维，考虑空间效应(Harmonic use Matlab simulation and wind into law, multi-dimensional, considering spatial effect)