classical_SOM_program

说明：  Horn and shunck code to estimate the motion between two consecutive frames

说明：  RSA is a cryptosystem for public-key encryption, and is widely used for securing sensitive data, particularly when being sent over an insecure network such as the Internet.A user of RSA creates and then publishes a public key based on the two large prime numbers, along with an auxiliary value. The prime numbers must be kept secret. Anyone can use the public key to encrypt a message, but with currently published methods, if the public key is large enough, only someone with knowledge of the prime numbers can feasibly decode the message

利用随机共振进行信号检测，本程序主要针对单频信号利用4节龙哥库塔实现共振检测(Stochastic resonance signal is detected, the program focused on the use of single-frequency signal section 4 Long Ge Kuta achieve resonance detection)

《模糊逻辑》（Fuzzy Logic）一书的例子程序，作者： Reza Langari-"fuzzy logic" (Fuzzy Logic), an example of the procedure, the authors : Reza including

Solving Traveling Sales Man Problem by Genetic Algorithm.

基于Matlab和ActiveX技术的数字信号处理教学演示系统(Matlab based on ActiveX technology and digital signal processing teaching demonstration system)

iir滤波器，无限冲激响应滤波器。功能强大(IIR filters, infinite impulse response filter. Powerful)

函数逼近的程序是一元函数的逼近，效果不错(function bijin de chengxu )

利用matlab提供的firhalfban函数设计阶数为16、通阻带容限为0.0001的半带滤波器。仿真测试滤波前后的信号时域图，回执滤波器的频率响应特性图(Provided firhalfban function using matlab design order of 16, through the 0.0001 stopband wool half-band filter. Simulation test filtered time domain signal before and after, receipt filter frequency response characteristic diagram)

计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行后续处理。此次课题的完成采用的是比较常见的数学软件matlab，其具有强大的工具箱。对处理图像这块具有很广泛的支持。(Computer vision and video image processing is one of important research in the field of video moving object detection, whether in the domains of pattern recognition and image understanding has special significance. Moving target detection is to extract video moving object in successive frames, the image is divided into foreground and background. Moving target detection algorithm for subsequent movement target classification, target tracking and analysis provides the basis. This paper tells the story of several common video moving object detection algorithm, and to the study on the background difference method, through the two methods to contrast the characteristics of the finite difference method. The background difference method algorithm is the main process is: the video capture, video into image sequence and image grayscale processing, remove noise, difference image, for subsequent processing images. The completion of this subject is the more common mathematical software matlab, whi)