draw_lines3d

Assemble source code for twofish algorithm

说明：  微波遥感实习程序的源代码，通过GDAL读取常用遥感影像，如img，tiff 可实现读取显示和雷达影像处理的一些基本算法(The source code of the microwave remote sensing internship program, reading common remote sensing images through GDAL, such as img, tiff can realize some basic algorithms of reading display and radar image processing)

抖动算法分为随机抖动算法和有序抖动算法。随机抖动算法随机产生一组模板方阵数列，随机数的产生期间在图像的最小灰度和最大灰度之间。有序抖动算法是人为地设置一些模板值进行匹配操作，主要有分散性抖动算法(Disperse Dither)和聚集型离散算法(cluster Dith神两种。分散型以Bayer有序抖动算法为代表。后来Ulichenay在以上两种算法的基础上，提出了局部聚集整体分散的抖动算法。(Dithering algorithm is divided into random dithering algorithm and ordered dithering algorithm. The random dithering algorithm randomly generates a set of template square matrix sequences, where the generation of random numbers is between the minimum gray level and the maximum gray level of the image. The ordered dithering algorithm is to manually set up some template values for matching operations. The main algorithms are decentralized dithering algorithm (Disperse Dither) and clustered discrete algorithm (cluster, Dith, and two). The decentralized algorithm is represented by the Bayer ordered dither algorithm. Later, Ulichenay proposed a local aggregation and scatter jitter algorithm based on the above two algorithms.)

操作系统期末复习文件Operating system review of documents (Operating system review of documents )

说明：  目标是揭示视频中难以或不可能用肉眼看到的时间变化，并以指示性的方式显示它们。称为欧拉视频放大，以一个标准的视频序列作为输入，并应用空间分解，然后对帧进行时间滤波。然后放大产生的信号，以揭示隐藏的信息。(The goal is to reveal time changes that are difficult or impossible to see with the naked eye and to display them in an indicative manner.)

驱动大师,生成虚拟硬盘和虚拟软盘采用易语言编写()

在高斯白噪声信道下的误码率性能和误帧率仿真译码程序。(BPSK debugging in Gauss white noise channel)

matlab实现hk算法,数据集使用任何UCI数据集即可(hk mathed use matlab)

用VIsual C++编写的简单数据库，用来管理学生信息。(Simple database using the VIsual C++ written to manage student information.)

说明的是用在客户端输入两个数字，在服务器端实现其加法运算，然后返回结果给客户端的rmi例子，这个例子较为复杂。此例子经过本人的调试通过。欢迎大家享用。-descriptions are used in the importation of two client figures on the server side to achieve its addition operations, then return to the findings to the client rmi example, is more complex. This example After I passed the debugger. You are welcome to enjoy.