jiaotongxinhaodeng

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

this gives you detailed abt the active power filter and its used. You can mitigates the harmonics by using a active power filter.

Reduction in peak to average power ratio in OFDM.

em算法的matlab实现，简单适合入门，可以参考(em algorithm matlab implementation, simple for entry, refer to)

本程序为我自己编写的，能够实现用枚举法背包问题(This program written for my own, to achieve knapsack problem with the enumeration method)

二阶中心差分滤波器，具有较强的跟踪性和较宽的应用范围，数值稳健 (Second-order central difference filter, with a strong track and a wide range of applications, numerical robustness)

2D FDTD realization with Near-to-Far field transformation

Convert binary to 32 bit hexa decimal value

Expectation maximisation with principal component analysis

数字图像处理姚敏版第六章彩色图像所有例子的完整matlab代码 可以正确运行(Yao Min version of digital image processing color images all the examples of Chapter VI of the complete matlab code can be correctly)