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MIMO技术详细技术 比较经典的讲解，比较经典(MIMO technology to explain detailed technical more classic)

ASTAR2算法 很简单 学机器人的可以进(The most classic ASTAR algorithm very practical learning robot can enter)

程序1实现了一维Airybeam的三维图形，从x-y面可以看出Airybeam的传输轨迹，三维图形的z轴是光强； 程序2实现了1维Airybeam的轨迹控制，通过改变wm和wg的值可使光强的最大值在任意位置。(A three-dimensional graphics program to achieve a one-dimensional Airybeam the xy plane can be seen Airybeam transfer trajectory, and three-dimensional graphics z-axis is the light intensity 2 implements the program track 1-dimensional Airybeam control, by changing the value of wg wm and the light intensity at an arbitrary position allows the maximum.)

遗传算法tsp问题 针对题目中物流配送路径优化问题，本文引入0-1规划思想，建立了带约束条件的物流配送问题的数学模型。求解时，引入遗传算法的编码方式，并针对分区数与客户数量相差较小的情况，灵活运用分区配送算法确定包含最优解的分区序列组，紧密结合枚举法使得其算法兼顾简单、快速的优点。应用Matlab软件可执行得到最短路径。兼顾时间因素导致的复杂影响，我们引入了惩罚函数，并通过设定惩罚系数，进一步由最短路径求得最优路径。(Genetic algorithm tsp problem of logistics distribution routing optimization problem subject, this paper introduces 0-1 programming ideas, a mathematical model with the constraints of logistics and distribution problems. Solving, introducing genetic algorithm encoding, and the number of partitions and the number of customers for a small difference, the flexible use of the partition containing the partition algorithm to determine the distribution of the optimal solution sequence group, closely enumeration method allows both the algorithm is simple, fast advantages. Matlab software application executable to get the shortest path. Complex factors affecting both the time, we introduce a penalty function, and by setting the penalty coefficient, and further obtain the optimal path from the shortest path.)

X波段低损耗高增益微带阵列天线设计(X-band low-loss high-gain microstrip array antenna design)

MATLAB neural network backprop code This code implements the basic backpropagation of error learning algorithm. The network has tanh hidden neurons and a linear output neuron. adjust the learning rate with the slider

transmittion line matlab code

说明：  目前使用最为广泛的多目标优化算法，可用于求解多个目标函数的优化问题(Multi objective optimization algorithm)

本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的说明，并配备了例题加以说明其用法；对数学中的一些深入问题如数值分析、稀疏矩阵、优化理论以及模糊数学等问题进行了较为详细的论述，(This tutorial provides a practical guide for using MATLAB, which is based on MATLAB6.0 edition, the contents of Deep In particular, this book use the format of each command are detailed but simple instructions, and be equipped with Example on its use of mathematics in some in-depth issues such as numerical analysis, sparse matrix, optimization theory and fuzzy mathematics and other issues in a more detailed exposition)

直方图图像均衡化和规定划、以及加性噪声，如拖尾脉冲噪声，高斯脉冲噪声（自适应方法）、和椒盐噪声等等各种噪声的添加噪声和去除噪声的MATLAB代码(Histogram equalization and provisions of the planning image, and additive noise, such as trailing impulse noise, Gaussian pulse noise (adaptive approach), and salt and pepper noise, etc., add all the noise noise noise and remove the MATLAB code)