遗传算法

一个改进的分水岭算法 用于对图像进行分割，有兴趣可以看看(An improved watershed algorithm for image segmentation, are interested can look at)

本次实验是无线楼宇数据传输仿真，即在楼内实现点对点的无线数据通信，需要获得的关键是两点之间的距离和楼层衰减。通过了解914M的楼宇通信特性，建立楼宇数据通信系统的仿真模型，采用无线收发芯片NRF905,实现楼宇内的数据通信仿真分析。 (this experiment is building wireless data transmission simulation, in the building of peer-to-peer wireless data communications, need, the key is the distance between two points and the floor attenuation. 914 M by understanding the communication characteristics of the buildings, the establishment of building data communications system simulation models, adoption of wireless transceiver chip NRF905 achieve buildings on the simulation analysis of data communications.)

结合了分页显示、拖拽换位、删除及动画效果，长按后可进行拖拽，并在拖拽的移动过程中有补位的动画效果，可在拖拽过程中换页。自定义点击目标的可删除、可移动的属性。(Combines paging display, drag transposition, delete, and animation effects, long press can drag and drag to move the process to fill the seats have animation, can change the course page in drag. Custom Click goals can be deleted, movable property.)

基于matlab车辆车牌文字识别功能(Matlab-based vehicle license plate character recognition function)

采用两发一收的空时分组码经过瑞丽信道后的性能仿真。(The use of a collection of two space-time block codes through Ruili performance after channel simulation.)

最优化计算一书中线性优化问题源代码，已通过测试，可直接运行！(Optimization calculation of the book, a linear optimization problem source code has been tested, can be run directly.)

these are some matlab programs 1.additon of two images 2.converv mat to gray 3.addition of two images

NSGA2的Matlab代码，运行正确，注释详尽(NSGA2-Matlab code to run correctly, and detailed annotations)

近场声源定位TDOA的MATLAB仿真，采用传统的相关算法CC和广义相关算法中的相位转换算法GCC_PHAT(Sound localization of MATLAB simulation, using the traditional algorithms of CC and phase transformation algorithm of generalized correlation algorithm GCC PHAT)

说明：  灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)