多输入多输出系统example_mimo

对语音信号假入宽带高斯白噪声并用小波降噪(add white noise to signal and decrease it with wavelet)

wavelet technique is used for fault identification

一本介绍小波分析方法极其应用的书，从图书馆下载后还没看，感觉应该还不错(An introductory wavelet analysis method is extremely Application book from the library download not see, feel, should be pretty good)

包括主成分分析、因子分析、贝叶斯分析，仿真效率很高的，光纤无线通信系统中传输性能的研究。( Including principal component analysis, factor analysis, Bayesian analysis, High simulation efficiency, Fiber Transmission wireless communication system performance.)

gcv.m GCV准则。。。。。。。。。。。。。(gcv.m GCV principle....................)

通过对主从系统的数学建模并利用matlab随机试验模拟，研究主从多机通信系统的可靠性，以及采用不同措施预防和解决故障的可行性和统计规律。包括实验报告和源代码( Though the mathematical modeling of the master-slave system and the random experiment with Matlab, we tried to research about the reliability of the system with or without different methods to prevent and solve the failure of the system, therefore we find some statistical regularity. )

用Maple和MATLAB解决科学计算问题，第三版，电子工业出版社(Using Maple and MATLAB to solve scientific computational problems, Third Edition, Electronic Industry Press)

MATLAB中的高斯消元法解方程，注释，源MATLAB代码(MATLAB in the Gauss elimination solution of equations, notes, source MATLAB code)

说明：  用matlab求多项式的实根解答的代码，其中包含多种方法。。。(Using matlab to answer the real roots of a polynomial code, which contains a variety of methods. . .)

matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。(Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version.)