madam_matlab_watermarking_code

a code which export a letter/array to serial port

一本介绍aml编程设计的书籍.比较基础,实用.(aml introduced a program designed books. Basis for comparison and practical.)

The TCRT1000/ TCRT1010 have a compact construction where the emitting-light source and the detector are arranged in the same direction to sense the presence of an object by using the reflective IR-beam from the object. The operating wavelength is 950 nm. The detector consists of a phototransistor.

这是一个基于粒子群算法来寻找图片上的园的圆心，通过自己设置参数，可以在较短的时间内较为精确的找到一个图所有圆的圆心(It is used to find the location of circles in a complicant map. For this fuction, you can set some paraement yourself and it will return the result in a very short time. )

matlab 一些作图划线的基本知识，并且包含一些矩阵运算，方程的求解，附带若干个例子(Basic knowledge of MATLAB, some mapping crossed, and contains a number of matrix calculation, equations, with several examples)

A DVB-T 2K Transmission simulation of OFDM

matlab的一个小程序，for循环，这事最基础的程序，大家一定要掌握的(matlab a small program, for circulation, this most basic procedures, the U.S. must find the)

说明：  本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。(This paper presents an original video in the DCT (Discrete Cosine Transform) and SVD (singular value decomposition) algorithm for adaptive watermark embedding. Firstly, a video stream is divided into scenes, scenes of the video image is converted to the DCT-SVD domain, the watermark embedded in the largest singular quantification, the realization of the watermark signal. Furthermore, the experiments show that the algorithm meet the transparency requirements are met under certain robustness requirements, can resist the low-pass filtering, median filtering, salt and pepper noise, Gaussian noise, H.264 compression attacks and attacks and frame shear statistics attack.)

OSG中怎样创建多视图，利用OSG+Win32 console application实现。(make multiply views in osg)

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.