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说明：  SRM空间富模型隐写分析算法,选区高维特征，使用集成分类器进行训练(Spatial Rich Model Steganalysis Algorithms, Selection of High-Dimensional Features, Using Integrated Classifier for Training)

基于Tensorflow的Unet实现，里面有详细的教程。(TensorFlow for Unet, in which there are detailed teaching lecture.)

经验模式分解的matlab程序 hibert-huang变换,效果挺好的()

说明：  Tent混沌系统的分析图。对就是分析图系列，没错。Tent。。。。。。(The analysis diagram of Tent chaotic system. That's the analysis of the graph series, that's right. Tent)

说明：  NPCR and UNCI of image

电压跌落是最严重的动态电能质量问题之一， 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量，现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能， 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系，多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值，考虑了系数之间的相关性，能获得更好的 去噪效果。通过 Matlab 进行仿真验证，仿真结果表 明，所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)

文件1 txt,2 txt,3 txt和5 txt为用Fortran编写的有限元程序 4 txt为用c＋＋编写的钢筋混凝土异形柱的全()

六次迭代使三角形三条线分形折叠，最后组成雪花(Six iterations make triangles become snow)

说明：  facet边缘检测的matlab源代码,是基于二阶模型，只要运行最后一个hhh.m就可以了(facet Edge Detection Matlab source code is based on second-order model, as long as the last one run on the hhh.m)

代码实现多目标粒子群算法，多目标粒子群算法是基于parato原则进行的目标优化实现的算法。而此文件就是多此算法的代码MATLAB的一种实现(Multiobjective particle swarm optimization (PSO) algorithm)