chongdian

matlab gui, 一个综合的例子，包括了基本的各种组件用法。(matlab gui, a comprehensive example, including the basic usage of the various components.)

QPSK通过瑞利信道的MATLAB建模与仿真的程序(QPSK rayleigh channel matlab modeling and simulation)

This program for High dynamic rannge output image selection or conversion

说明：  连杆机构的运动设计，matlab程序设计，连杆的运动设计(rod design )

低通巴特沃斯滤波器设计求阶数，适合广大学生们参考，(Low-pass Butterworth filter design requirements order, for the majority of students reference)

模糊规则与模糊推理机，很好的学习模糊规则的资料。简单易懂(Fuzzy rules and fuzzy reasoning machine learning fuzzy rules. Easy to understand)

微环级联四波混频,基于FFT算法，在2013b环境下可运行(cascaded FWM in microring )

DWT transformation is used to describe the image compression

自己写的matlab上GUI界面，可以读取行情软件导出的txt格式历史数据，并汇出k线和技术指标，可以通过GUI编辑设置、各种指标及其参数。主图附图指标编辑通过编写脚步实现，有例子。 解压后，将work下的dir.mat中的wkdir变量修改成与你放置的目录一致，也可以就将work放置在"d:/matlab/"下. read2mat.m从文本中读取数据，并存在与文本文件同名的.mat格式的文件中。 运行kfigure,加载.mat格式文件就可以画出k线图和指标图。其他功能很多和股票软件差不多，大家自己试就行了。(Matlab GUI interface to write their own, you can read the historical data of market software exported txt format, and Export k lines and technical indicators, you can edit the settings through the GUI, various indicators and their parameters. The the main figure drawings indicators edit achieve by writing the footsteps examples. After decompression, modify the work under dir.mat wkdir variable and you are placed in the same directory, will work placed in the " d :/ matlab /" . Read2mat.m to read data from a text, and exist with a text file of the same name. mat format file. The run kfigure, loading mat format file can draw k chart and indicators Figure. Other features and stock software almost everyone own try line.)

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,)