prc6

％本程序功能是计算2幅彩色图像的PSNR,以此来评价图像处理的效果％％％％％％％％％ ％ 运行的结果保存在变量PSNR中( This program features the calculation of two color images of the PSNR, in order to evaluate the effect of image processing the results of running stored in variables in PSNR)

signal processing toolbox for use with matlab(signal processing toolbox for use with matlab)

GUI 多Panel实现； 多axes绘图实现；实现tab control 类似的功能(GUI Panel axes tab control )

双基地声纳定位精度GDOP与目标方位的关系，目标方位为与过基线中点法线的夹角。(Bistatic sonar positioning accuracy GDOP relationship with the target position, the target azimuth angle between the baseline and over the midpoint of normals.)

在matlab上画出三个脑电信号的图像，并进行对比(Draw three EEG images on matlab, and compare)

基于高阶累积量的调制识别，可自己更改特征(Modulation recognition based on high-order cumulants can change its own characteristics.)

SMF-28折射率、群速度、材料色散、波导色散、总色散、包括SMF的基本底层参数。(SMF-28 refractive etc)

二维FDTD仿真高斯脉冲在平面内的传播，并且设定了ABC边界条件，可以自动生成关于Ez，Hx和Hy的.avi文件，播放脉冲动态传输。(Dimensional FDTD simulation Gaussian pulse propagation in a plane, and set the ABC boundary conditions, can automatically generate .avi files on Ez, Hx and Hy, and play dynamic pulse transmission.)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

本程序采用8结点四边形单元，分析固定位移边界条件的弹性力学平面问题(This procedure using 8-node quadrilateral element, analysis of fixed displacement boundary conditions of the plane problem in elasticity)