DBFM

Kmeans algorithm is the most popular algorithm for clustering

首先对图像进行非线性灰度变换滤除噪声，然后利用最大类间方差阈值技术对处理后的图像进行二值化处理，最后利用积分投影定位人眼(First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally using integral projection technology to pinpoint the human eye)

冈萨雷斯的数字图像处理MATLAB版本，很适合初学图像处理的看看，容易上手学习MATLAB编程的图像处理(Digital image processing MATLAB version Gonzalez, very suitable for beginners image processing look, easy to use image processing to learn MATLAB programming)

Empirical Wavelet Transform

产生16路信号，画出16路原始信号的频谱叠加图以及滤波器响应，并画出结果信号的时域和频域波形(Generate 16-channel signal, draw 16 original signal spectrum overlay and a filter response, and draw result signals in time domain and frequency domain waveforms)

Matlab数字信号处理与应用源代码,matlab程序已经经过验证，图形效果处理很好(Digital signal processing and application of Matlab source code, Matlab program has been validated, graphic processing effect is very good)

matlab code for ls mimo

Assignmnet of adaptive filtering

基于遗传算法和匹配追踪的信号分解程序和MATLAB仿真(Matching based on genetic algorithms and procedures to track the signal decomposition and MATLAB simulation)

Function to perform Principle Component Analysis over a set of training vectors passed as a concatenated matrix. Usage:- [V,D,M] = pca(X,n) [V,D] = pca(X,aM,n) where:- <input> X = concatenated set of column vectors aM = assume that the mean is aM n = number of principal components to extract (optional) <output> V = ensemble of column eigen-vectors D = vector of eigen-values M = mean of X (optional)