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可以对点云添加噪声，对从网站上下载的标准点云研究提供基础数据，比如研究去噪方法，可通过添加噪声形成基础数据(You can add noise to the point cloud to the standard point cloud research downloaded from the website to provide basic data, such as research de-noising method can form the basis of the data by adding noise)

完成声音信号的分帧，加窗，PLCC特征提取等功能(Complete voice framing, windowing,PLCC detection and other functions)

针对图像全局Otsu 分割算法和传统的局部阈值分割算法在复杂背景图像分割中的不足, 提出了一种采用局部动态阈值的图像分割算法。(Image segmentation algorithm for global Otsu and traditional local threshold segmentation algorithm in complex background image segmentation the insufficiency, puts forward a dynamic threshold use local image segmentation algorithm.)

CFAR的MATLAB程序实现 将目标和杂波有效的分开(cfar matlab)

一个基于Gabor滤波器组的多特征融合的图像检索算法（CBIR based on Multi-Features Combining Multi-parameters from Gabor Filter-bank, 简称multi法），融合了基于Gabor 小波系数的标准方差，峰态，能量，平滑度和一致性度量五个特征量度，实验表明，该算法是一种更加有效的图像检索方法。(we propose a CBIR algorithm based on Multi-Features Combining Multi-parameters from Gabor Filter-bank(called multi algorithm for short), which use Gabor filter banks and combine five features including standard deviation, kurtosis, energy, smoothness and uniformity together. The results of experiments show that this algorithm is a more effective method used for image retrieval.)

一幅大小为256×256的256级灰度图像（每像素8bit） 如果图像的各个像素之间是统计独立的，求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的，求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information entropy of the image is calculated Discrete memoryless source If each pixel of the image is not statistically independent, the information entropy of the image is calculated Probability distribution model of image pixels)

Freeman链码（8方向）代码，进行图像边缘的描述，可用于基于内容的图像检索系统(Freeman chain code (8 directions) code)

说明：  利用R语言编程实现高光谱遥感的随机森林分类(Random Forest Classification Based on Hyperspectral Remote Sensing Using R Language Programming)

。基于Wirtinger流的相位恢复算法是由Emmanuel J. Candes等于2015年提出的新的相位恢复算法，该方法不再将光场函数局限于非凸集中，而是利用一种新的初始化方式以及迭代规则来寻找最优解。(a new approach about phase retri which is published in 2015)

说明：  LSB(英文 least significant bit)即最低有效位。LSB加密是信息隐藏中最基本的方法。由于人们识别声音或图片的能力有限，因此我们稍微改动信息的某一位是不会影响我们识别声音或图片的。(LSB replace steganography)