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粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R． Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． (Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.)

实现两幅图像的配准过程，利用MATLAB软件实现两幅图像的配准(Two image registration process)

神经网络预测,几个简单的列子，适合初学者(neural network prediction matlab programe)

Codificador de voz a 8 kbps implementado en microblaze.

matlab中VCA算法的事例 用于高光谱像元解混(the algorithm of VCA)

park等常用的一些建模时需要的变换公式，对电气类工程人员很有用(park and other common modeling some transformation formulas needed for electrical engineers useful class)

说明：  这是基于matlab编程实现的潮流计算，包括PQ计算、雅克比计算(This is power flow calculation based Matlab, including PQ calculation.)

The onset of the P wave is the starting point of the P wave, it s the first positive or null sample before the P peak. The offset of the P wave is the ending point of the P wave, it s the first negative or null sample following the P peak.

由于遗传算法较以往传统的搜索算法具有使用方便、鲁棒性强、便于并行处理等特点，因而广泛应用于组合优化、结构设计、人工智能等领域。(Than in the past due to genetic algorithms traditional search algorithms with easy to use, robustness, ease of parallel processing, etc., which are widely used in combinatorial optimization, structural design, artificial intelligence and other fields.)

Creation, transformations, algorithms and visualization of geometrical 3D primitives, such as points, lines, planes, polyhedra, circles and spheres.