diedai

fast 2D walsh hadamardova transformacia

基于小波变换的分开—合并图像分割matlab．采用多尺度小波变换系数作为四分树结构的分开一合并法图像分割的一致性度量 从而在大的图像块中。。去除噪声的影响，在小的图像块中，以小波变换的局部极大值精确定位边缘，根据边缘信息进行分开一合并法图像分割 ．实验表明．算法得到满意的结果 ． (Separately based on wavelet transform- merge image segmentation Matlab. Multi-scale wavelet transform coefficients as the quadtree structure separate consolidation method of image segmentation consistency measure large image block. . To remove the effects of noise, in small image blocks, the local maxima of the wavelet transform precise positioning edge, to separate a combined method for image segmentation according to the edge information. Experiments show. Algorithm to obtain satisfactory results.)

基于MATLAB的TSP问题求解，有详细的程序解释和代码(MATLAB-based problem solving TSP, a detailed explanation of the program and code)

用平面波展开法计算二维声子晶体带隙,这个有中文注释，看得明白，二维声子晶体FDTD方法计算禁带宽度的例子。( Computation Method D phononic bandgap plane wave, The Chinese have a comment, understand it, Dimensional phononic crystals FDTD method calculation examples band gap.)

A*算法路径规划，有详细介绍文本 适合于初学者，学习算法。(A* algorithm for path planning, a detailed text is suitable for beginners, learning algorithms.)

求解n皇后问题的MATLAB源程序。此程序只需输入皇后个数，即可得到所有的解。(N queens problem solving MATLAB source code. Just enter the number of this program at Queen' s, you can get all of the solution.)

For finding the distance or classification

matlab绘图方面的很好的幻灯片，内容比较实用，有兴趣的可以看看。(matlab mapping good slides, the content more practical, interested can look at.)

该文件程序可用于任意螺旋锥齿轮加工参数的齿面数据点的输出，可直接修改参数，得出对应的齿轮齿面，为齿轮的建模和TCA提供一定的基础。(The output of the file that can be used for any machining parameters of spiral bevel gear tooth surface data points, you can directly modify the parameters derived corresponding gear tooth surface, providing a foundation for modeling gear and TCA.)

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)