cyclic2

已知轴线方程,把圆柱按轴线分若干段，在每个断面画圆，圆的法线就轴线的切向方向。柱面画若干平行于轴线的线条，其中用到平行单位矢量点积等于1，不平行的结果是[-1，1）。 (Axis equations are known, according to the axis of the cylinder divided into several segments, each section in the circle, the circle axis normal to the tangential direction. Number of cylinders parallel to the axis of drawing lines, which use the parallel unit vector dot product is equal to 1, the result is not parallel to [-1,1). )

this code is of median filtering. this code is only for 3x3 window.

matlab-gauss,实现matlab上的gauss迭代法(Matlab- gauss, the realization of Matlab gauss iterative method)

《MATLAB神经网络30个案例分析》中的第5个例子，案例5 基于BP_Adaboost的强分类器设计-公司财务预警建模。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 5 example, case 5 strong classifier design based on BP_Adaboost- corporate financial early warning model. Hope to have certain help to everybody! )

SiC衬底X波段GaNMMIC的研究博士论文(SiC substrate X-band study GaNMMIC doctor thesis)

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：  fft做谱分析各种连续信号 用MATLAB实现(fft spectrum analysis to do a variety of continuous signal with MATLAB to achieve)

b图像 matlab功能 matlabmatlabmatlabmatlabmatlab(b image)

为stanford大学donoho教授所编写的redgit变换源代码。是用c编写的，但已转化至matlab环境使用。(Written for Professor Donoho Stanford of the University of redgit transform source code. Is written in C, but has been converted to Matlab environment.)

The Seismic Unix Project is partially supported by the CWP Consortium Project. In the past, the Seismic Unix Project has received partial support from the Gas Research Institute (GRI) and the Society of Exploration Geophysicists Foundation.