stator_current

sift MATLAB+VC Image Fusion,MATLAB和VC混合编程，用SIFT算法实现图像拼接功能。(sift MATLAB+ VC Image Fusion, MATLAB and VC mixed programming, using SIFT algorithm image mosaic function.)

SAR Imaging, Wavelet Processing , using LFM signal without Fast Fourier Transform

求解ppln中脉冲传输的问题 采用split step fourier method(Ppln in solving the problem of pulse transmission using split step fourier method)

high automatic stabalization for hovering unmanned hellicopter

matlab各种m文件，比较全，有很多较好的算法(err)

this code is used to plot the output response of the band pass filter

说明：  利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。(The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization of simulation results.)

Matlab 中常用的图像图像处理源程序。(Image processing method and program)

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,)

内含心电信号数据及运用MATLAB写的源代码，是国外的成品模型，小波包分析提取振动信号中的特征频率。( ECG data and includes source code written in MATLAB, Foreign model is finished, Wavelet packet analysis to extract vibration signal characteristic frequency.)