Rer

声发射/声音信号的采集，频域、时域、功率谱等的分析.请配合NI9223使用。( Acoustic emission/capture sound signal, frequency domain analysis, time domain, power spectrum, etc. Please cooperate NI9223 use.)

利用有理函数模型进行空间前方交会程序，已知同名像点和2张卫星影像的有理函数RPC文件用于求地面点坐标。(Space forward intersection process using rational function model, known as points and 2 with the same satellite images of the rational function RPC file is used to beg the ground point coordinates.)

code for segmenting images using graph theory

摄像机的标定、角点的提取、三维空间的重建、最后生成矫正后无畸变的图形(Camera Calibration，This section takes you through a complete calibration example based on a total of 20 (and 25) images of a planar checkerboard. This example lets you learn how to use all the features of the toolbox: loading calibration images, extracting image corners, running the main calibration engine, displaying the results, controlling accuracies, adding and suppressing images, undistorting images, exporting calibration data to different formats... This example is highly recommended for someone who is just starting using the toolbox. )

线性系统的时域分析法,涵盖各方面内容（包括稳定性分析）(The time-domain analysis of the linear system, covering all aspects of content (including stability analysis))

说明：  模拟退火计算最优系统维护时间，系统强度与衰减符合高斯分布，cpp文件用来比较蒙特卡洛方法与用分布计算的区别(Monte Carlo Method for Calculating Optimal System Maintenance Time)

FFTW 64位FFTW算法库，MATLAB 就是调用这个库(FFTW 64BIT FFT)

包含三个M文件，其中ReadGpsData.m是读取导航文件，TimetoJD.m是将民用年历转换为儒略日，CalPos.m是将读取的数据计算卫星的坐标。 此程序计算结果较好。 (M consists of three documents, which is read ReadGpsData.m document navigation, TimetoJD.m is converted to civilian Julian calendar date, CalPos.m is to read the coordinates of the satellite data. Calculation of this procedure with satisfactory results.)

实现wf功能，matlab源程序(Wf realize functions, matlab source)

使用改进的LBP算法CLBP实现图像纹理特征的提取，并使用卡方统计方法计算类间距离并实现图像分布。本人已经实验，对15类病毒图像进行分类，不调任何参数的情况下实现67 以上的准确率。( Using an improved algorithm CLBP LBP texture feature extraction of image, and use the chi-square statistic calculated inter-class distance and achieve image distribution. I have experimented on 15 viroid image classification, and more than 67 accuracy rate without adjusting any parameters.)