mandsimulink

维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； (Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )

说明：  该课题为基于kmeans的聚类分割，输入一张彩色图像，可以选择需要分割成多少类，就会以不同颜色区分不同的块，带有GUI界面，操作丰富。(This topic is based on Clustering Segmentation of kmeans. Input a color image, you can choose how many categories you need to segment, and then different blocks will be distinguished with different colors, with GUI interface and rich operation.)

Linear Assignment Problem solver for Matlab

Brain Tumor Segmentation Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm

用MATLAB自带的工具箱实现svm的多分类问题，代码有注释。(MATLAB comes with the toolbox to achieve svm multi-classification problem, the code has comments.)

说明：  《变迹相移光纤光栅传输谱的研究》仿真代码请搜索“光纤光栅的传输谱特性,研究了均匀光栅，相移光栅，啁啾光栅的特性”(&quot Phase shift of apodized fiber grating transmission spectrum of&quot simulation code search for &quot fiber grating transmission spectrum characteristics of a uniform grating, phase shifted grating, chirped grating characteristics&quot )

floyd algoritm source write in matlab on social neetwork lab

BOOST中对于元编程中如何增加预编译的功能，并且增加了自定义输出错误码的功能。是学习元编程的很好的入门例子(BOOST how to add the function of pre compiled meta programming, and add custom output error code function. Is learning meta programming is a good example of entry)

EM algorithm for k multidimensional Gaussian mixture estimation

前面搞错了,把五个文件一起打包上传了,现在一个一个传 预加重算法,与直接传输 算法比较 模拟程序 程序头上有详细的注释和使用说明(Made a mistake in front of the pack with five file upload, and now a mass of a pre-emphasis algorithm, compared with the direct transmission algorithm simulation program procedures detailed head notes and use)