MCMC-with-Matlab

地震子波的提取，直接关系到地震资料分辨率，提取子波的方法很多，本程序采用了基于复赛谱的子波提取(Seismic wavelet extraction, directly related to the resolution of seismic data, wavelet extraction are many ways, this program uses spectrum based on wavelet extraction semi-finals)

指纹识别系统设计全过程实现 matlab软件环境实现(Fingerprint identification system the entire process of design implementation software environment implementation matlab)

基于BP神经网络的PID控制算法，可以实现对正弦、方波、阶跃信号的跟踪(BP neural network based on the PID control algorithm can be achieved for the sine, square, step tracking signal)

基于Matlab的三阶魔方模拟软件，操作简单，初学者试编程序，仅供参考。(The third-order cube based on Matlab simulation software, simple operation, a trial program for beginners, for reference only.)

说明：  经典的卷积码的Log_MAP译码算法matlab仿真实现(A classical Log_MAP decoding algorithm of convolutional code is relized by matlab.)

this code is simple and usful code it is a matlab code that optimize PID parametrs using Generic Algorithm

用动态图显示极化电磁波的状态。将电磁波的极化表示从琼斯矢量，变换为斯托克斯矢量。适用于学习极化雷达的初学者入门。(Aprogram to show polarimetric wave using stactic or dynamic figures.A program to change the polarimetry representation Jones vector to Stokes vector. For the beginer who learn polarimetric radar.)

基于波束空间的MUSIC多重信号分类算法源程序(MUSIC algorithms based on beam forming)

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)

这是一个从国外网站下载的ICA 的matlab源代码(This is a website of the ICA from abroad, the source code of the matlab)