nsct_toolbox

总体经验模态分解（EEMD）的程序，适合初学者学习。(Overall empirical mode decomposition (EEMD) procedures, suitable for beginners to learn.)

说明：  数字图像处理方面的专业类书籍，中文版，适合系统的学习数字图像处理(Digital image processing professional books, Chinese for the study of digital image processing system)

K150 - DIYpack25ep for windows 7

matlab文件，适用于matlaB初学者，有关模糊控制的程序(failed to translate)

说明：  实现了免疫算法求解约束优化问题的实例。实验表明，算法具有良好的性能。(The method is the implementation of Immune Algorithm(GA). The experiment results show that the efficiency of the algorithm is better.)

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)

说明：  camshift的matlab源代码，已经测试通过(camshift the matlab source code has been tested)

caalcul fourier series in matlab

冒险咖啡屋秘密花园V35最终版源码 Visual Basica代码，要研究MXD的朋友可以下载看下(adventure coffee secret garden V35 final version of Visual Basica source code to study MXD friends can download facie)

用topsis法求取各评价方案的优劣。构建了MATLAB代码来求解(Calculated by the TOPSIS method of the pros and cons of scheme uation.)