three_level_diode_clamped_DCsource_Testing

FCEUX的汉化版。希望大家积极下载！希望大家支持我！(FCEUX the finished version. Hope that we actively download! Hope you will support me!)

格子波尔兹曼方法的matlab程序，用于多空介质流体的计算(Lattice Boltzmann method matlab program for the calculation of long and short Fluid)

时延估计和波束形成方法，在声源跟踪方面有用(Time delay estimation and beamforming methods, useful for tracking the sound source)

1．讨论数列的变化规律。 2．讨论调和级数的变化规律。(1. Discuss the changes of the number of columns. 2. To discuss the changes of harmonic progression.)

该程序允许操作者用鼠标画出任意种桁架，然后求解，最后以图形方式输出结果。(The program allows the operator to use the mouse to draw any kind of truss, and then solving, and finally output the results graphically.)

corner detection a digital image processing project in matlab .m files included including presentation

提供了广义最小方差控制的MATLAB程序，以及基于广义最小方差控制的自校正控制直接与间接算法的MATLAB程序。(Provides a generalized minimum variance control of MATLAB procedures, and direct and indirect algorithm of self-tuning control based on generalized minimum variance control.)

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)

一些比较经典的Matlab gui界面的例子,对指导GUI编程很有意义(Some of the more classic examples of Matlab gui interface guiding meaningful GUI Programming)

人工神经网络进行数字卡片识别，Matlab环境(Artificial neural network for digital identification card)