maanmian

顺序浮动向前选择：选取特征中影响系数较大的特征。(The order of floating forward options: select characteristics influence coefficient larger feature.)

滑膜控制，实现系统滑模同结构控制，分数阶与整数解的同步(Synovial control, sliding mode structure control, fractional and integer solution to achieve synchronization with)

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)

This is a version of Foschini-Miljanic, an itarative algoriyhm for power control in wireless computer networks.

说明：  画出系统的阶跃响应曲线，计算系统的上升时间，调节时间，超调量，稳态误差。。。(drawing the system s step response and comput its adjusting time \stastical error)

使用SVM进行多类的一对一分类，有利于初学者对SVM进行快速入门(The function of the code is to classify multiple classes using one-to-one SVM, which must be very useful for beginners.)

载波调制的数字传输，有幅度，相位，频率的调制，以及正交调制和同步(Modulation of the digital transmission, a range, phase, frequency modulation, and quadrature modulation and synchronization)

说明：  文章详细介绍了在OFDM系统中基于导频或训练序列的信道估计方法(Article described in detail in the OFDM system based on pilot or training sequence channel estimation methods)

读取文件夹下所有的照片并显示，用matlab编程(Read the folder all the photos and display, using MATLAB programming)

Ordered-Statistics CFAR Processor for non-homogenous environments