wavelet-transform

a collection of addmitance matrix for solving load flow analysis.

use SVM to realize classification

To support wireless communication : MIMO

利用全波法计算同轴线的特征模式以及同轴线内的场分布，对计算电磁学全波仿真的学习很有帮助(Use Full Wave Algorithm to calculate the eigenmodes and electromagnetic field distributions of coaxial line ,it will be very helpful for the learning of computational electromagnetics)

Gauss channel generation with zero mean and unit variance

用Bellman-Ford 算法实现的路由协议，适用距离矢量协议bgp 等， （matlab 源码）(This program uses the Bellman-Ford algorithm to find the set of routing tables which would be generated in the BGP protocol)

this code is to learn more about the mattlab

蚁群算法用于小波域的。图像去噪，2010年最新权威SCI国际期刊文章，效果非常好。(Ant colony algorithm for the wavelet domain. Denoising, the latest authority of the SCI 2010 international journal articles, the effect is very good.)

计算了贝塞尔函数的一阶导数的零点。 更新BessDerivZerosBisect.m这些变化： 1。允许对m= 0 2。允许用户指定特定的m和k值理想。 3。允许公差输入参数 4。使用一个表的查找能为m和k的小值接近初始化 5。添加错误检查 6。计算衍生w.r.t.以X而不是w.r.t.米（虽然老方法的工作也。）(Calculates the zeros of the first derivatives of Bessel function. Updates BessDerivZerosBisect.m with these changes: 1. Allows for m = 0 2. Allow the user to specify the particular m and k values desired. 3. Allows for a tolerance input parameter 4. Uses a table look-up to get closer initializations for small values of m and k. 5. Adds error checking 6. Computes the derivative w.r.t. to x rather than w.r.t. m (although the old method works, too.))

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.)