duopulepinyisuanfa

MATLAB图像处理-基于高频强调滤波和直方均衡化图像增强(MATLAB image processing- based on high frequency emphasis filtering and histogram equalization image enhancement)

人脸识别程序中的调试 希望做毕业设计的同学朋友能有用(Face Recognition program debugging want to do design students graduating from a friend can be useful)

MATLAB工具函数汇总。对参加数学建模用MATLAB写程序很有帮助(matlab utility functions summary。)

介绍一下图像增强技术的背景和意义以及现代图像增强技术发展的现状，其次是介绍图像增强技术的基本算法。由于要用到Matlab进行仿真，第三章将主要介绍Matlab软件在图像处理中的功能和运用。最后将详细的介绍直方图算法的意义、性质、显示及映射，并利用Matlab进行图像增强的仿真实现且达到了论文预期的目的和满意的实验结果。(Recommend the picture to strengthen the background , meaning and current situation of strengthening the technical development of modern picture of technology at first, secondly introduce the basic algorithm that the picture strengthens technology. Because should use Matlab and carry on emulation , chapter three will mainly introduce the Matlab software function and application in pattern process. Finally detailed introduction meaning, nature, showing and shining upon, histogram of algorithm, utilize emulation that Matlab strengthened the picture to realize and achieve the anticipated purpose of the thesis and satisfactory experimental result.)

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,)

无线传感器网络协议的生命周期和稳定周期对比(Wireless sensor network protocol and stability of periodic comparative life cycle)

基于LMS算法和Matlab的自适应滤波器的设计，包含matlab程序，以及相关文档的说明(Based on the LMS algorithm and Matlab adaptive filter design, including the matlab program, as well as related documentation)

qpsk awgn with simulink

very useful for inverter design in power electronics

Supporting Document for Support Vector Machine matlab Coding