method

为了避免直接对rgb图像处理时出现颜色失真，常把彩色图像由rgb空间转为hsv空间，完成相应处理后，再逆变换至rgb空间。(In order to avoid image processing directly on the rgb color distortion occurs, often the color image from the rgb space into hsv space to complete the appropriate treatment, and then inverse transform to the rgb space.)

基于最大互信息的运动目标检测[matlab源码](Moving target detection based on maximum mutual information, matlab)

大规模MIMO信道仿真 多发多收 单发单收等等等等等等。。。(Massive ＭＩＭＯ)

这是个滤波的算法。开发环境是 matlab很好，很有用。(This is a filtering algorithms. Matlab development environment is very good, very useful.)

Matlab编程实现简单的流体替换以及前后合成地震记录对比，含word文档及图示说明。(Matlab programming simple fluid replacement and synthetic seismograms before and after comparison, including word documents and illustrations.)

ERA是一种对结构进行试验模态参数识别的方法，这是一种时域识别的程序(ERA is a method for identifying modal parameters of structures, which is a program for time domain identification.)

灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。(Gray theory that the behavior of the system even though the phenomenon is dim, the data is complex, but still it is ordered, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. Meanwhile, the gray theory is to generate the data model, not the original data model, so gray prediction data by generating data gm (1,1) model predicted values ​ ​ obtained result of the inverse process.)

This a platform to design a data base schem.

基音检测的MATLAB程序，好含有分帧程序，短时域所有相关分帧处理算法代码。(Pitch detection MATLAB.)

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)