87361026FEA

移动通信中的阵列天线技术,主要讲智能天线和波束形成。PDF 书籍(the array antenna tech in wireless commuincation, smart antenna and beamforming.)

用Matlab编写的Mie theory计算程序。在光子学中运用广泛，使用非常方便。(prepared using Matlab Mie theory calculation procedures. Photonics in extensive use, the use is very convenient.)

Mobile iris recognition systems: An emerging biometric technology

《系统辨识理论及Matlab仿真》MATLAB程序( System identification theory and Matlab simulation MATLAB program)

功能如名称主要就是介绍蒙特卡罗方法的使用(Features such as the name of)

说明：  对于一个散射面进行重构,并计算出了散射场的值(reconstucting a scattering surface and calculate the value of the scattering)

SVPWM控制的有源滤波器matlab simulink仿真(Matlab Simulink simulation of active filter based on SVPWM control)

说明：  1．编写欧拉前差、后差、梯形公式。 2．编写二阶、三阶龙格库塔法通用程序。 3．编写汉明积分法通用程序. 4．编写用状态转移法对连续系统状态方程进行离散化的通用程序。(1. Euler prepared before the poor, after the poor, trapezoid formula. 2. The preparation of the second order, third-order Runge-Kutta method common procedures. 3. Hamming integration method to prepare common procedures .4. Prepared by the state of the transfer method of continuous system discretization equation of state for the general program.)

本代码是关于Multi-Dimensional Scaling（MDS）的代码，可以用于特征提取、特征选择，或是矩阵降维。(This file is part of the Matlab Toolbox for Dimensionality Reduction v0.4b. You are free to use, change, or However, )

包括优化算法源程序及算法原理介绍。自适应协方差矩阵进化策略，一种2000年左右发展起来的新优化算法，简称CMA-ES，最近十几年得到了学术界的广泛关注，非常有应用前景。这是一种黑箱子优化算法，可以再程序末自己定义优化函数，也可以调用外部程序（如有限元等）进行计算，然后提取优化函数的解。该优化算法在各种变量维度下的表现优于蚁群算法、粒子群算法，有较好的收敛性，这归功于其严谨的数学表达。(Covariance matrix adaptation evolution strategy, about one kind of new optimization algorithms developed in 2000, referred to as CMA-ES, the last ten years has been widespread concern in academic circles, very prospect. This is a black box optimization algorithm, you can then define their own optimization program at the end of the function, you can also call an external program (such as finite element, etc.) are calculated, and then extract the optimal solution function. The optimization algorithm in a variety of variable dimensions outperformed ant colony algorithm, particle swarm optimization, better convergence, thanks to its rigorous mathematical expression.)