three_arry

一本很好的傅里叶光学学习教材，英文原版，相当难得(A good learning material on Fourier optics, the English original, very rare)

说明：  自己编写的zero forcing equalizer，完全可用(I have written zero forcing equalizer, fully available)

在matlab上的Asift程序，在原有基础上有所改进，程序可以出色地实现图像的识别，匹配，效果相比SIFT，SURF等有大幅提高(In matlab Asift program improvements based on the original, the program can achieve excellent image recognition, matching, compared to the effect of SIFT, SURF, etc. have greatly improved)

一个简单的水平集演化的matlab仿真，带注释。便于初学matlab，图像处理以及水平集的同学学习。(A simple level set matlab simulation, with comments. Easy beginner matlab, image processing and level set of students to learn.)

a definition of kernel function in MATLAB code

SGP4航天器轨道预报模型的MATLAB程序，可直接使用并对其进行二次开发。(Matlab program of SGP4 model for orbit prediction of spacecrafts.)

基于Matlab软件中的优化算法和优化工具，针对风力机翼型通用型线集成表达式建立了优化数学模型。以风力机翼型的最大升阻比为优化设计目标函数，翼型形状控制方程的系数为设计变量，翼型的厚度和弯度为约束条件，设 计得到了相对厚度为18％的风力机翼型，并对其性能进行了计算分析。研究结果拓宽了风力机叶片翼型的设计思路和设计方法。(Based the Matlab software optimization algorithm and optimization tools for the integrated expression of the general profile of the wind turbine airfoil optimization model. Wind turbine airfoil maximum lift-drag ratio for the optimal design objective function coefficients of the equation of the airfoil shape control as design variables, airfoil thickness and curvature constraints, the design has been the relative thickness of 18 of wind turbine airfoil , and its performance is calculated and analyzed. The findings broaden the wind turbine blade airfoil design ideas and design methods.)

包括压缩比、运行时间和计算复原图像的峰值信噪比,ML法能够很好的估计信号的信噪比,窗函数法设计一个数字带通FIR滤波器。( Including compression ratio, image restoration computing uptime and peak signal to noise ratio, ML estimation method can be a good signal to noise ratio, A window function design FIR digital band-pass filter.)

说明：  用小波函数sym6对散斑图像进行4-5层得阈值滤波，并提取相位和去包裹(denoising using wavelet)

说明：  用GA遗传算法求解VRP车辆配送问题，以及VRP的特殊情况TSP旅行商问题(GA Genetic Algorithm for VRP with the distribution of vehicles, as well as the special circumstances of VRP Traveling Salesman Problem TSP)