NN-bp

Expectation Maximization

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)

MATLAB 简单易懂的教程，保证在短时间内学会。(MATLAB tutorial easy to understand, to ensure that in a short time learn.)

说明：  c语言实现盲均衡算法，还有cma算法的改进(The implementation of blind equalization algorithm in C language and the improvement of CMA algorithm)

lms算法 用于实现matlab仿真lms算法的程序(lms fliter)

介绍相关用MATLAB实现节点自定位以及目标定位跟踪的算法，(Introduced to achieve the relevant node self-localization using MATLAB and the target location and tracking algorithm)

矢量匹配算法，关于曲线理和的问题，能克服有理匹配的相关缺陷(vectfiting )

自己编写的对于加了噪声灰度图像进行均值滤波的函数，不是直接调用函数的那种。(I have written plus noise grayscale images mean filtering function, not directly to the kind of the calling function.)

o here p q r s t of the electro cardia program is being explained

简单的knn算法展示，用户可以直接调用，适合大家学习交流使用(the simple knn,you can call it for your work)