pvmodel

说明：  缨帽变换的简短小程序，在MATLAB7.11.0里环境下运行(Tasseled cap transformation of the short program, run under the environment MATLAB7.11.0)

基于滑模变结构控制的混沌系统的同步MATLAB源程序。(MATLAB source based on sliding mode variable structure control of chaotic system synchronization.)

V/F Control of induction motor simulation in matlab simulink

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

MATLAB编程（第二版）Stephen J.Chapman著，国外高校电子信息类优秀教材中文翻译版，菜鸟级入门教程，简单易学。(MATLAB Programming (Second Edition) Stephen J. Chapman a, good foreign universities teaching Chinese electronic information translated version, the rookie-level introductory tutorial, easy to learn. )

对emd分解进行改进，通过kl散度和相关系数来改进这个分解排除虚假分量(Improve the decomposition of emd, improve the decomposition by kl divergence and correlation coefficient to eliminate false components)

用来做判别分析，内含案例数据和代码，适用于初学者(Used for discriminant analysis, with case data and code, for beginners)

对文献《Simulation Models With Correct Statistical Properties for Rayleigh Fading Channels》提出的Rayleigh信道模型的仿真，仿真了信道的自相关，互相关，以及四阶统计量。仿真结果与文献一致。目前PDF的仿真的效果不好，还未奉上。关于LCR,AFD也没有做。但是总体说来，目前的仿真结果与文献是完全符合的。对应的文献也放到压缩包了。(This matlab code for paper, <Simulation Models With Correct Statistical Properties for Rayleigh Fading Channels>.This papar is very popular in channel estimation simulation.The paper is also upload with the code.)

ds-cdma系统仿真，考虑在多径衰落信道情况下，系统的误码率(ds-cdma system simulation, consider the multi-path fading channel circumstances, the BER)

One dimensional interpolation Fourier transform to realize data sampling