SATURATION

两种常微分方程求解的matlab程序，是自学matlab的小程序可以学学(Two kinds of solution of ordinary differential equations matlab program, matlab is a small program can self-learn)

在 MATLAB 中的窗函数,通过程序调用，实现窗函数(The window function in MATLAB, through the procedure call to realize window function)

说明：  改进防碰撞纯ALOHA的matlab仿真算法(Improved anti-collision algorithm for pure ALOHA the matlab simulation)

灰度图像的膨胀与腐蚀函数matlab源代码(gray image dilate and erode )

小波包能量巨程序（已做归一化处理，用于对振动信号提取特征）(Wavelet packet energy giant program (normalization process has been done for the vibration signal feature extraction))

正弦函数的离散傅里叶变换，输出傅里叶变换系数(Discrete Fourier sine transform, Fourier transform coefficients output)

一个种子为生长点的彩色图像区域生长程序。交互式Matlab实现(A seed for the growing point of color image region growing process. Each type of Matlab)

统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法， 但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这 一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自 多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和 仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附 加的计算量小等优点。(Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with low calculation load added and higher precision 。)

利用matlab编程实现含负折射材料的表面波和波导特性，有界面！(Matlab Programming with the use of negative refraction of surface waves and waveguide material properties, have interface!)

基于RSSI的定位，已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置(RSSI-based positioning, known to launch the node transmission signal strength, the receiving node according to received signal strength, transmission loss calculated using the theory or experience loss of signal propagation model will spread into the distance and then calculate the location of the node)