NCSA

矩形信号的frft（分数傅里叶变换wigner_ville_1.m 单分量信号去噪 wigner_ville_2.m 双分量平行信号去噪 wigner_ville_3.m 3分量信号频率检测）分数傅里叶变换是经典傅里叶变换的另一种改进方式。它的主要特点是提供研究对象从时间域到频率域全过程的综合描述，随着阶数从0连续增长到1，分数傅里叶变换展示出研究对象从纯时间域逐步变化到纯频率域的所有变化特征。因此，分数傅里叶变换提供了远比傅里叶变换多得多的可供选择的数据处理和分析方法。(The rectangular signal FRFT (Fractional Fourier Transform) Score Fourier transform is another modification of the classic Fourier transform. Its main feature is a comprehensive description of the study from the time domain to the frequency domain, with the order of continuous growth from 0 to 1, the fractional Fourier transform demonstrate the object of study from a purely time-domain gradually change to a pure frequency domain variation. Thus, the fractional Fourier transform provides data processing and analysis methods than Fourier transform much more to choose from.)

提取图形的七阶不变矩，简单易行，利用求得特征矩进行图像的识别(It is simple and easy to extract the seven order moment of the graph, and the image is identified by using the characteristic moment.)

杭州电子科技大学acm题库中的1097的代码,如果有人需要拿去！()

数字图像哈弗曼编码，包括压缩和解压。压缩比、信噪比(Encoded digital image Hafu Man)

视觉slam十四讲，程序资料：g2o优化、cere拟合、特征点提取与匹配、点云拼接、opencv图像读取(Visual slam 14, program data: g2o optimization, cere fitting, feature point extraction and matching, point cloud mosaic, OpenCV image reading)

这是图像恢复中的盲反卷积迭代算法的matlab的源程序，对于学习数字图像有很大的好处！(This is image restoration in the Iterative Blind Deconvolution algorithm matlab source for the study of digital image has a lot of benefits!)

图像边缘检测，实现了几种边缘检测算法，像Roberts，Sobel，Prewitt，Canny等(Edge detection, edge detection algorithm to achieve several, such as Roberts, Sobel, Prewitt, Canny, etc.)

用c语言编写的数字图像处理程序，图像读取，图像增强，图像复原，傅里叶变换，离散余弦变换都有(With the c language digital image processing, image scanning, image enhancement, image restoration, Fourier transform, discrete cosine transform has)

一个简单圆，有圆心半径，已知半径，求周长和面积。已知某点求是否在圆上。(A simple circle, a circle radius, known radius, strives for the pupil. Known to some point whether in the round.)

说明：  基于距离多普勒算法和CS算法实现SAR点目标仿真与实测数据处理(Realization of SAR Point Target Simulation and real data processing)