腐蚀和膨胀在 matlab 环境中的而无需使用内置函数

图像配准程序研究，这是我自己编写的一个代码。如有不足，请多多包涵！(tuxiangpeizhunchengxu，zijixiede)

matlab自带的很好用的kmeans算法程序，已经验证通过，(matlab kmeans algorithm, matlab kmeans algorithm matlab kmeans algorithm procedures)

K分布仿真的一部分，一部分是斑纹分量 还有是结构分量 两者点乘得到K分布序列 (K distribution part of the simulation, in part, there is a structural component markings component of both the dot distribution sequence obtained K)

Watermarking algorithms built using matlab

说明：  这是CA码的捕获过程仿真，这能帮助我们更好的理解CA的捕获(This is the CA code capture process simulation, which can help us a better understanding of the capture of the CA)

RBF神经网络：rbf原理：所谓径向基函数(Radial Basis Function 简称 RBF），就是某种沿径向对称的标量函数。通常定义为空间中任一点x到某一中心xc之间欧氏距离的单调函数，可记作 k(||x-xc||），其作用往往是局部的，即当x远离xc时函数取值很小。最常用的径向基函数是高斯核函数，形式为 k(||x-xc||)=exp{- ||x-xc||^2/（2*σ）^2） } 其中xc为核函数中心，σ为函数的宽度参数，控制了函数的径向作用范围。在RBF网络中，这两个参数往往是可调的。(RBF neural network: rbf principle: the so-called radial basis function (Radial Basis Function called RBF), is some kind of radially symmetric scalar function. Is usually defined as the space between any monotonic function to a central point x xc Euclidean distance, may be credited to k (|| x-xc ||), and its role is often partial, that is far the xc function when x The value is very small. The most commonly used is the Gaussian radial basis function kernel function, in the form of k (|| x-xc ||) = exp {- || x-xc || ^ 2/(2* σ) ^ 2)} where xc is Kernel center, σ is the width parameter of the function, the control function of the radial scope. In the RBF network, these two parameters are often adjustable.)

主要包括盲信号的检测程序，还包含实验报告和结果(It is mainly used to denoise seismic signals and data, construct seismic data and then denoise the contrast results.)

DWT小波变换，盲数字水印

speaker recognition system matlab file.

查找ldpc校验矩阵中的6环，并将其记录到txt文件中(Find ldpc check matrix of the six rings, and its records to a txt file)