example_knn(降维)

说明：  matlab中的关于规划方面的例子和程序(matlab in the example on the planning and procedures)

这是有关网络互联的一个大型课程设计，应用了ospf，nat等来实现的(This is the network interconnection of a large course design, application of the ospf, nat, etc. to achieve)

this code finds out the array factor of ULA

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.)

Chebyshev和Legendre展开(Chebyshev and Legendre expansion)

相似度算法的实现， 在利用支持向量机进行模式分类的时候，有时需要考虑到实时性，为了提高实时性，则利用相似度算法减少样本集个数，从而减少训练时间和支持向量的个数，使得建立起的向量机实时性提高。(Similarity algorithm, support vector machine in pattern classification, it is sometimes need to take into account the real-time, in order to improve real-time, the use of similarity algorithm to reduce the number of sample collection, thus reducing training time and the number of support vectors， improve the real-time of established Vector Machines.)

车联网仿真，路边单元场景仿真，单路边单元、双路边单元、城市场景。(Vehicle network simulation, roadside unit scene simulation, single side cell, double roadside unit and urban scene.)

采用偏最小二乘法，单径或多径瑞利衰落信道仿真，迭代自组织数据分析，已调制信号计算其普相关密度，线性调频脉冲压缩的Matlab程序,研究生时的现代信号处理的作业。

OFDM仿真利用MATLAB。M语言编写。很适合新手。连赚点积分。(OFDM simulation using MATLAB. M language. Very fit novice. Even earn points.)

一维时间序列分行维数，利用计盒法计算得到的分形维数，希望对大家有所帮助！(Branch of one-dimensional time series dimension, using box method calculated the fractal dimension, and they hope to be helpful to everyone!)