matlab

研究中我么采用分段的方法对数字音频信号嵌入水印。为便于研 究，以灰度图像为数字水印原始信号经二值化处理后得到水印再嵌入 音频信号的离散变换域中，从而得到嵌入水印的音频信号，其实现过 程原理框图如图1 所示。在水印嵌入的过程主要实现四个阶段的任 务：(1)数据准备与预处理，主要是准备好水印原始图片和待嵌入水印 的音频信号 (2)音频信号分段处理，用于嵌入水印的音频数据部分等 分成(m1*m2)个音频数据段 (3)水印图像降维处理，在此过程灰度图像 水印转化为二值图象, 要将其嵌入到一维的数字音频信号中, 必须将 二维的图像转化成一维的序列 (4)将水印嵌入到数字音频信号中,从而 最终获得带数字水印的音频信号。(The study I Mody, segmented digital audio signal embedded watermark. Discrete transform domain to facilitate the study of the grayscale image for the digital watermark the original signal is obtained after the binarization processing watermark embedded in the audio signal, thereby obtaining the watermark embedded in the audio signal, and its implementation process schematic block diagram shown in Figure 1. Mainly in the watermark embedding process to achieve the task of four phases: (1) The data preparation and pretreatment, is ready to watermark the original picture and to be embedded in the audio signal of the watermark (2) audio signal segment processing for embedding watermark The audio data portion is divided into (m1* m2) audio data segment (3) The watermark image dimension reduction processing, binary image is converted to grayscale image watermark in this process, and to be embedded into a digital audio signal of a one-dimensional , two-dimensional images must be converted in)

完整的is95前向链路仿真系统matlab实现，简单实用(Complete is95 matlab forward link simulation system implementation, simple and practical)

matlab5入门与应用，虽然讲的版本有点老，但是对刚上手的菜鸟来说，还是有一定的指导做用(matlab5 entry and application, although a little talk about the old version, but just for the rookie-to-use, or have to do with some guidance)

支持向量机和主成份分析的人脸检测代码，适合初学者。(Face detection code support vector machine and principal component analysis, suitable for beginners.)

说明：  粒子群优化算法(Particle Swarm optimization,PSO)又翻译为粒子群算法、微粒群算法、或微粒群优化算法。是通过模拟鸟群觅食行为而发展起来的一种基于群体协作的随机搜索算法。通常认为它是群集智能 (Swarm intelligence, SI) 的一种。它可以被纳入多主体优化系统(Multiagent Optimization System, MAOS)。粒子群优化算法是由Eberhart博士和kennedy博士发明。(The probabilistic neural network has a simple structure and is easy to design Particle Swarm Optimization (PSO) is translated as Particle Swarm Optimization, Particle Swarm Optimization, or Particle Swarm Optimization. It is a random search algorithm based on group collaboration developed by simulating the foraging behavior of birds. It is generally considered to be a type of swarm intelligence (SI). It can be incorporated into Multiagent Optimization System (MAOS). The particle swarm optimization algorithm was invented by Dr. Eberhart and Dr. Kennedy.)

三个不同阻带DBR叠加的投射光谱及微腔模式计算(Superposition of three different projection DBR stop-band spectrum and micro-cavity pattern)

DCT域音频水印算法代码，用于音频媒体版权的保护(Audio Watermarking Algorithm for DCT-domain code)

贪婪算法源程序。不只有Matlab程序，还有一些其他软件的。(Greedy algorithm source code. Not only the Matlab program, there are a number of other software.)

说明：  实指数序列a=1/2 实指数序列a=1/2(Real exponential sequence a = 1/2)

提取Gabor特征，LBP特征，LGBP特征代码(extract Gabor feature,LBP feature and LGBP feature.)