2DplateElementMethod

well-designed user work with in MATLAB, suitable for beginners

基于K-L算法的人脸识别，应用matlab代码实现(Based on the recognition of the K-L algorithm)

DEMODULATOR: This function performs demodulation of the forward Channel packet, based on RAKE Receiver Block Diagram Input Signal -> [Matched Filter] -> [Sampler] -> [RAKE Receiver] -> [Walsh] -> [DeSpreading] Inputs: RxIn - input signal (I/Q) analoge PN - PN sequence (used for De-spreading) MF - matched filter taps Walsh - Used row of Walsh matrix for recovering

说明：  MATLAB CODE FOR IMAGE PROCESSING

Spatial Complex, 2*2 MIMO, 2 transmitter 2 reciever, use Zero Force techniques.(Spatial Complex, 2* 2 MIMO, 2 transmitter 2 reciever, use Zero Force techniques.)

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)

说明：   ( )

matlab作图工具介绍，还有完成的功能，学术帝需要的(introduction matlab mapping tools, as well as complete function)

用MATLAB产生正态分布和均匀分布,采用三种方法，并且进行纵横向对比(Generated using MATLAB normal and uniform distribution, using three methods, and conducted to compare vertical and horizontal)

用于人工免疫系统在故障诊断而编写的人工免疫通用算法(generic algorithms of artificial immune system for application in fault diagnosis )