hongmo2

压缩感知和超分辨率论文，关于如何将低分辨率的图像如何重建成高分辨率图像，很有用(compressed sensing and super resolution)

相变凝结蒸发，源项vof-udf，定义连续性方程，能量方程，动量方程中的质量源项，能量源项和动量源项(condensation and evaporation)

程序是实现交通标志图像的分割GUI界面，采用分割的方法主要有Ostu，阈值迭代选择法及区域生长法。(Program is to achieve a traffic sign image segmentation GUI interface, the mainly segmentation methods are Ostu, iterative threshold selection method and region growing method.)

均值便宜跟踪的示例，预报误差法参数辨识-松弛的思想，用于信号特征提取、信号消噪。( Example tracking mean cheap, Prediction Error Method for Parameter Identification- the idea of relaxation, For feature extraction, signal de-noising.)

该程序用于嵌入信息位置的选择 可以根据产生的随机序列来嵌入 达到满足信息安全的要求(The procedure used to select the location of embedded information can be generated by random sequence to achieve the embedding of information security to meet the requirements of)

说明：  编程实现小波的边缘检测算法，对图片的边缘处理(Edge Detection Algorithms of Wavelet Based on Programming)

5相位编组法实现纹理直线边缘的检测matlab程序代码。不同于hough变换。附带文字的原理讲解(The five-phase grouping texture straight edge detection ，matlab code. Different from the hough transform. explain with the accompanying text )

用SLM法降低PAPR的CCDF,调用SLM函数来实现，毕业设计很有用的源代码(SLM method used to reduce PAPR of the CCDF, call the SLM function to achieve graduation design of the source code is useful)

说明：  在这个知识库中，图形信号处理的一些有趣的特性被表示出来。演示通过经典信号处理和图形信号处理对一维和二维欧几里得域信号应用低通滤波器，比较两种方法的结果。在此基础上，验证了图形信号处理的工作机制。此外，还描述了在非欧几里得域上滤波信号的示例。(In this repository, Some fascinating features of Graph Signal Processing were represented. Demos incudes applying a low-pass filter on both 1D and 2D euclidian domain signal by classical signal processing and also Graph signal processing to compare both results are the same. Within that way, we will validate the working mechanism of Graph Signal Processing. In addition to this, an example of filtering a signal on the non-euclidian domain was also represented.)

该代码描述了一种用Gar小波进行纹理特征提取方法，可用于图像分析、视频处理、以及模式识别前期建立模式向量。(The code describes a texture with Gar wavelet feature extraction methods can be used for image analysis, video processing, and pattern recognition pre-established pattern vector.)