ImputationSOM

复杂网络中的小世界网络的生成程序（small-world network program）(Complex network generation program of small-world networks (small-world network program))

说明：  把激光陀螺捷联惯导系统和GNSS接收机固联于实验车实验仓中，接收机天线固联在实验车实验仓上方，车载计算机实时接收和采集惯导系统、卫星导航接收机的原始数据，在郊外开阔公路进行车载实验。 通过matlab编程实现卫星导航伪距单点定位、INS/GPS松组合导航的全过程。 1）卫星导航单点定位测速：利用采集得到的接收机时间、伪距、多普勒频移数据，要求进行单点定位、测速解算，输出接收机的位置、速度随时间的变化曲线，并给出位置、速度误差曲线； 2）松组合导航：结合惯导解算和卫星接收机单点定位测速，要求采用Kalman滤波器实现惯导/卫星位置、速度组合导航解算，滤波器维数至少包括惯导的位置、速度、姿态角9维。将组合导航后的姿态角与纯惯导的姿态角进行对比分析，给出位置、速度误差曲线。(The laser gyro strapdown inertial navigation system and GNSS receiver are fixed in the experimental compartment of the experimental vehicle. The antenna of the receiver is fixed above the experimental compartment of the experimental vehicle. The on-board computer receives and collects the original data of the inertial navigation system and satellite navigation receiver in real time, and carries out on-board experiments on the suburban open highway.)

说明：  对人体通信实验研究的最佳调制方法。某神秘机构内部刊物~搜不到的那种~(Experimental research on human communication best modulation methods. Publication of a mysterious house that can not ~ ~ Search)

Data files are in Matlab format. Each file contains fan and drive end vibration data as well as motor rotational speed. For all files, the following item in the variable name indicates: DE - drive end accelerometer data FE - fan end accelerometer data BA - base accelerometer data time - time series data RPM- rpm during testing

说明：  在学习优化算法的过程中，为快速了解算法求解过程，整理出这两个算法。通过蚁群算法和萤火虫算法对测试函数进行求解，以图片的形式展示算法迭代过程中蚂蚁或萤火虫的移动过程，了解算法特点。相对而言蚁群算法更快，但不一定能找到最优解。(By learning the optimization algorithm, the two algorithms are sorted out. The ant colony algorithm and the firefly algorithm are used to solve the test function. The moving process of the ant or firefly in the iterative process of the algorithm is shown in the form of pictures. To understand the characteristics of the algorithm, the ant colony algorithm is relatively faster, but it is not necessarily able to find the optimal solution.)

将ACSII格式pro/E生成的STL文件读入matlab(Import Pro/E file into Matlab)

汽车七自由度模型，实现汽车动力学模型，MATLAB模型。(Vehicle seven 7自由度车辆动力学模型(Simulink),matlab实现汽车动力学模型。-Seven degrees of freedom vehicle dynamics model (Simulink), matlab achieve vehicle dynamics model.)

运动估计块匹配算法 以下是工程中m文件的简单注释： main.m 可通过主函数调用各种基本的块匹配算法 FullSearch.m 全搜索法（又称为Exhaustive Search） ThreeStepSearch.m 三步搜索法（Three Step Search） NewTSS.m 新三步搜索法（New Three Step Search Algorithm） SESTSS.m 简便高效的三步搜索法（Simple And Efficient TSS） FourSS.m 四步搜索法（Four Step Search） DS.m 菱形搜索法（Diamond Search） ARPS.m 自适应路径搜索法（Adaptive Root Pattern Search） costFuncMAD.m 绝对误差均值函数 minCost.m 宏块间代价最小块 motionComp.m 图像重建 imgPSNR.m 计算图像的PSNR值(Block matching motion estimation algorithm The following is a simple project m file comments: main.m calls through the main function of basic block matching algorithm FullSearch.m full search method (also known as the Exhaustive Search) ThreeStepSearch.m three-step search method (Three Step Search) NewTSS.m new three-step search method (New Three Step Search Algorithm) SESTSS.m simple and efficient three-step search method (Simple And Efficient TSS) FourSS.m four-step search method (Four Step Search) DS. m diamond search method (Diamond Search) ARPS.m adaptive path search method (Adaptive Root Pattern Search) costFuncMAD.m mean absolute error between the cost of the function minCost.m macroblock most small motionComp.m calculated image reconstruction imgPSNR.m image PSNR value)

无线信道建模很复杂，不同场景下的模型差异较大，这是一本讲解无线信道建模方法的经典书籍配套的matlab例程(Channel modeling is complex models under different scenarios are quite different, which is a classic way to explain the channel modeling books matching matlab routines)

This is a matlab code for processing an image by selecting non-overlapping blocks. This code also uses built in functions in matlab