source-ECG-data-of-MIT_BIH

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)

itoolbox 非常厉害，非常好。非常美(itoolbox is a very perfect project.)

说明：  本目录存放的小波编码实现的源程序： 打开ezw2.dsw工作区，编译后可在\ezw2\ezw\debug中找到编码可执行程序； 在\ezw2\unezw\debug中找到解码可执行程序。(Wavelet realization of the source coding : Open ezw2.dsw work, compiled in \ ezw2 \ ezw \ debug find executable code; In \ ezw2 \ unezw \ debug find decoder executable.)

Segmentation methodes en matlab

creating animation in matlab

求解抛物型方程正问题的有限差分方法程序源代码(limited difference method for parabolic equations)

说明：  多维数据处理：MATLAB源程序用于处理多维数据(multidimensional data processing : MATLAB source for dealing with multidimensional data)

InSAR主从影响选择。可以用于InSAR处理(Is InSAR master-slave influence selection. Can be used for InSAR processing)

Cornell大学一篇关于OFDM仿真的论文（含matlab程序 (Cornell University of an article on OFDM simulation papers (including matlab program)

点蚀是齿轮常见故障，利用小波变换检测齿轮点蚀故障(Pitting is common gear fault detection using wavelet transform gear pitting failure)