问题：找出一个短字符串在一个长字符串中的精确匹配。 要求：基于BWT压缩和FM索引技术的序列匹配，用Burrows-Wheeler transform算法解决该问题。(Problem: find the exact match of a short string in a long string. Requirements: BWT-based compression and indexing techniques sequence matching FM, with the Burrows-Wheeler transform algorithm to solve the problem)
绘制二维nurbs曲线，可以通过改变控制点或者权重从而改变图形的形状。(Draw a two-dimensional nurbs curve that changes the shape of a shape by changing the control point or weight.)
说明： 绘制二维nurbs曲线，可以通过改变控制点或者权重从而改变图形的形状。(Draw a two-dimensional nurbs curve that changes the shape of a shape by changing the control point or weight.)
说明： 图像识别，把行人轨迹绘制在公路图上，有多种显示方式。(Image recognition, drawing the pedestrian track on the road map, has a variety of display methods.)
说明： 稀疏表示常用matlab代码，可以直接跑(Sparse representation commonly used matlab code, can run directly)
说明： 能够实现对一幅图像的最近邻、双线性、双三次三种插值(Can realize the nearest neighbor, bilinear and bicubic interpolation of an image)
JSteg隐写技术matlab实现代码--基本思想：用秘密信息比特直接替换JPEG图像中量化后DCT系数的最低比特位，但若量化后DCT系数为0或者1，则不进行处理。（DCT系数的LSB嵌入） (JSteg steganography matlab code- the basic idea: direct replacement with the secret information bits JPEG image quantized DCT coefficients in the least significant bit, but if the quantized DCT coefficient is 0 or 1, no processing. (DCT coefficients LSB embedding))
JSteg隐写技术matlab实现代码--基本思想：用秘密信息比特直接替换JPEG图像中量化后DCT系数的最低比特位，但若量化后DCT系数为0或者1，则不进行处理。（DCT系数的LSB嵌入） (JSteg steganography matlab code- the basic idea: direct replacement with the secret information bits JPEG image quantized DCT coefficients in the least significant bit, but if the quantized DCT coefficient is 0 or 1, no processing. (DCT coefficients LSB embedding))
能够得到二维、三维voronoi图，修改后可以获得任意数量的voronoi图。(The two or thress-dimensional Voronoi diagram can be obtained, and any number of Voronoi diagrams can be obtained after modification.)
数字水印算法实现（matlab程序包），包含有DCT水印嵌入算法，DWT水印嵌入算法，以及水印攻击和性能测试程序。参考价值极大(digital watermarking algorithm (Matlab package), including a watermark embedded DCT algorithm, DWT algorithm embedded watermark, watermark and attack and performance testing procedures. Great value)
说明： 编程实现灰度图像的频域滤波算法。使用Matlab实现不延拓和延拓两个版本。对于延拓和不延拓版本，在理想低通滤波器、巴特沃斯低通滤波器和高斯低通滤波器上比较两者的区别；对于延拓版本，比较不同参数设置对上述三种滤波器滤波结果的影响。(Program to realize the filtering algorithm of gray image in frequency domain. Matlab is used to realize two versions of no extension and extension. For the extension version and the non extension version, the differences between the ideal low-pass filter, Butterworth low-pass filter and Gauss low-pass filter are compared; for the extension version, the effects of different parameter settings on the above three filter results are compared.)
说明： 用分水岭算法进行图像分割，借鉴形态学理论，将一幅图看成拓扑性地图，其中灰度值对应地形高度。(The watershed algorithm is used for image segmentation, and a map is regarded as a topological map, in which the gray value corresponds to the terrain height.)
以python语言为平台，对机载激光雷达原始数据Las格式和txt格式进行读取，并根据信息熵确定维度特征计算的最佳邻域半径，最后计算得到最佳邻域半径和最佳维度特征值(Based on Python language, the Las format and TXT format of airborne lidar raw data are read, and the optimal neighborhood radius is determined according to the information entropy. Finally, the optimal neighborhood radius and the optimal dimension eigenvalue are calculated.)
说明： 以python语言为平台，对机载激光雷达原始数据Las格式和txt格式进行读取，并根据信息熵确定维度特征计算的最佳邻域半径，最后计算得到最佳邻域半径和最佳维度特征值(Based on Python language, the Las format and TXT format of airborne lidar raw data are read, and the optimal neighborhood radius is determined according to the information entropy. Finally, the optimal neighborhood radius and the optimal dimension eigenvalue are calculated.)
说明： 以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。 以f = cos(2*pi/256*t) + sin(2*pi/128*t)做为原信号，取原信号f的20%做为输入进行压缩感知重建。(The sparse basis includes discrete cosine transform (DCT) and fast Fourier transform (FFT) as sparse basis, Gaussian random matrix and partial Hadamard matrix as measurement matrix, L1 norm and orthogonal matching pursuit algorithm (OMP) as reconstruction algorithm. In this paper, the reconstructed signal is reconstructed by using the original sensing signal (sinf * t) as the original input signal (i.e. sinf * t * 2) + 2 * s * t * as the input signal.)
图像分解，基于能量泛函的，将图像分解成结构和纹理(Image decomposition, based on energy functional, there will be broken down into the structure and texture image)
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