SVM

采用Jakes模型对一个简单的移动通信信道进行仿真。(Jakes model with a simple simulated mobile communication channel. )

《自适应滤波算法与实现》（第二版）源码，Diniz著，电子工业出版社，学习自适应滤波很好参考的资料( Adaptive Filtering Algorithm and Implementation (second edition) source, Diniz, and electronic industry publishing house, a very good learning adaptive filtering of information)

说明：  其主要内容包括：MATLAB 入门及基本操作，数 组、矩阵的使用及数据可视化方法，脚步文件及函数的编写，以及仿 真、图形用户界面入门等。(Its main contents include: MATLAB Introduction and basic operation, array, matrix use and data visualization methods, the pace of preparation of documents and functions, as well as simulation, graphical user interface, such as entry.)

文档中是关于信息传播模型的演化算法，上传仅供分享，并欢迎讨论(The document is about the evolution of information dissemination model algorithm, only upload to share, and welcomes discussion)

SVM简单应用，最基础的SVM用法，可以入门学习。matlab m文件(SVM simple application, SVM usage is most basic, entry learning)

多目标环境下 统一数据恒虚警 五种方法 仿真图(Multi-target environment unified data CFAR five methods simulation map)

改进的人工势场算法。对比传统的算法，对目标不可达问题进行了改进。(Improved artificial potential field algorithm. Compared with the traditional algorithm, the problem of target inaccessibility is improved.)

this is a simple Genetic Algorithm (GA) testing the optimal solution for a simple function.

近场信号中 music算法，2阶累计量和级联算法的对比仿真(Compare the near-field signal simulation algorithm in music, second-order cumulant and cascading algorithms)

这是《小波分析理论与MATLABR2007实现》的源代码。主要是基于Matlab的小波工具箱实现小波基选择、小波包分解、Mallat变换以及小波变换在边缘提取、图像去噪、数据压缩等中的应用，特别包含了二代提升小波的相关内容，理论与实际相结合。大家想要了解的二进小波、正交镜像滤波器组[QMF]等概念这里都有体现。(This is 《MATLABR2007 wavelet analysis theory and implementation》 of the source code. Mainly based on the Matlab wavelet toolbox implementation of wavelet selection, wavelet packet decomposition, Mallat transform and wavelet transform in edge detection, image denoising, data compression, such as the application, in particular, contains a second generation of relevant content Lifting Wavelet theory and reality. Everyone wanted to know about the dyadic wavelet, quadrature mirror filters [QMF] concepts are embodied here.)