MATLAB-7.x

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)

LMS算法计算信号功率和特征向量，并和其他几种算法做比较(LMS algorithm to calculate the signal power and the feature vector, and several other algorithms compare)

对二维矩形阵列，进行空间谱估计！适合阵列测向的新手，建议先仔细学习基础知识。在知识积累上想进行垮越式发展，于初学者来说最重要的是能帮助你弄清楚问题根本何在。 (Of two-dimensional rectangular array, spatial spectrum estimation! Suitable for the novice to the array of measurement, it is recommended to carefully study the basic knowledge. In the accumulation of knowledge on Vietnam-style collapse would like to carry out development for the beginner to the most important thing is to help you figure out what the problem is.)

说明：  详细地介绍了matlab的入门使用方法，分15章(Detailed description of the matlab entry to use, sub-chapter 15)

MATLAB小程序，实现模糊仿人只能的仿真，和PID进行了对比(MATLAB applet, fuzzy imitation only simulation, and PID were compared)

基于互功率谱的时延估计，这个有中文注释，看得明白，光纤陀螺输出误差的allan方差分析。( Based on the time delay estimation of power spectrum, The Chinese have a comment, understand it, allan FOG output error variance analysis.)

非线性拟合,用于非线性拟合时，可以用这个现成的代码，很发方便！(Nonlinear fitting for nonlinear fitting, you can use the existing code, it is made ​ ​ easy!)

时频分析工具箱，在信号检测中经常用到的，对大家有很好的帮助。(tools of time and frequency)

盲信号分离的三篇经典文章。Part One，首次提出了一种基于神经网络的学习算法（H-J算法），成功地实现了两个语音信号的分离，从而开启了一个新的领域。虽然他们的学习算法是启发式的并且没有明确指出需利用观测信号的高阶（高于二阶）统计信息，但是其迭代计算公式已具备后来ICA在线算法的雏形。 Part Two和Part Three：分别是从两个不同的角度来证明HJ算法的稳定性（主要是对源信号个数为2的情况给的证明），可惜的是，给出的稳定性条件都不是充要条件。(The three classic papers of blind signal separation(BSS).)

BUCK电路的双闭环控制matlab仿真，直接能用，参数都设置好了，效果很好。(BUCK circuit double-loop control matlab simulation, can be used directly, parameters are set up, the effect is very good.)