tent

程序实现人脸特征的检测和定位，可以识别并标注眉毛，眼睛，鼻子，嘴巴以及耳朵。能用于单人和多人脸图的检测识别，效果不错。(This is a human facial feature detection and location program. It can be applied to detect both single and multiple face images. )

用matlab编写的实现牛顿插值法的代码，生成图像可显示节点数，误差点。(Prepared with the matlab code to achieve Newton interpolation to generate the image to show the number of nodes, the error point.)

this help to draw delaunay triagles is input x,y to vectors represent coordinate of points for exemple p1(1,2) ,p2(3,4) p3(5,6) then x=[1,3,5] and y=[2,4,6]

粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R． Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． (Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.)

《MATLAB R2008图形与动画编程实例教程》的源代码--第四章(" MATLAB R2008 examples of graphics and animation programming tutorial" source code- Chapter IV)

关于无人动力伞的matlab数学模型建立，以及无人动力伞的控制研究。(unmanned paramotor on the matlab mathematical modeling, and control of unmanned paramotor.)

几种压缩感知重建算法，包括OMP、SP、COSAMP、GBP、IHT、IRLS，且附有算法原理说明 (compressive sensing econstruction algorithms,including OMP、SP、COSAMP、GBP、IHT、IRLS)

matlab随机子空间 可以进行模态识别(matlabmatlab)

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

说明：  利用高斯点扩散函数(PSF)模拟焦平面阵列(FPA)成像(the simulation of FPA imaging based on the guass PSF function)