matlab-interface-CTP

说明：  用粒子群算法选择支持向量机的参数（来自于互联网，在此感谢原创）(With the particle swarm algorithm to select the parameters of support vector machines (from the Internet, would like to thank the original))

MIMO Processing for 4G and Beyond Fundamentals and Evolution 新出的的关于4G的书籍，学习必备。 (MIMO Processing for 4G and Beyond Fundamentals and Evolution welcome to download！)

病态矩阵分析 多角度阐明什么是病态矩阵 并且采用了正交化的处理来解病态矩阵(Pathological matrix multi-angle matrix and to clarify what is ill treatment by the orthogonal matrix to solve ill)

说明：  《MATLAB 7.0编程基础基础》源程序，适合初学者使用，第6章(&quot MATLAB 7.0 programming foundation base&quot source, suitable for beginners, Chapter 6)

线性调频脉冲压缩雷达仿真，包括回波，脉冲压缩处理，雷达分辨力(Linear frequency modulated pulse compression radar simulation, including the echo, pulse compression processing, the radar resolution)

说明：  按照信息论基本原理的解释，信息是系统有序程度的一个度量，熵是系统无序程度的一个度量；如果指标的信息熵越小，该指标提供的信息量越大，在综合评价中所起作用理当越大，权重就应该越高。因此，可利用信息熵这个工具，计算出各个指标的权重，为多指标综合评价提供依据。(According to the interpretation of the basic principles of information theory, information is a measure of the degree of orderliness of the system, and entropy is a measure of the degree of disorder of the system. If the information entropy of the index is smaller, the amount of information provided by the index is larger, and the role of the index in the comprehensive evaluation should be greater, the weight should be higher. Therefore, we can use the tool of information entropy to calculate the weight of each index, and provide a basis for the comprehensive evaluation of multiple indicators.)

这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器(This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier)

可以对给定的对象数据特征进行分类，里面的程序可以很好的运行，希望共同讨论运用 。(Characteristics of a given object data classification, which the program can run, I hope to discuss the use )

Newton-Raphson method for all real roots of the polynomial 计算多项式实根的Newton-Raphson算法源代码(nonlinear fitting)

Genetic algorithm implementation