floyd_l

matlab—simulink入门教程，比较详细地介绍了基本操作流程。(matlab-simulink introductory tutorial, a more detailed description of the basic operating procedures.)

function Px = music(x,p,M) MUSIC Frequency estimation using the MUSIC algorithm. ----- USAGE Px=music(x,p,M) The input sequence x is assumed to consist of p complex exponentials in white noise. The frequencies of the complex exponentials and the variance of the white noise are estimated using the MUSIC algorithm. x : input sequence p : number of complex exponentials to find M : number of noise eigenvectors to use The frequency estimates are found from the peaks of the pseudospectrum Px.

optisystem搭建的相干光OFDM的各种例子，包括单偏振和双偏振，以及WDM的(Various examples of coherent optical OFDM optisystem structures, including single-polarization and dual polarization, and the WDM)

CRC码的加入 LTE编码过程中验证码。。。。。。。(Join LTE encoding process in the CRC verification code)

PV nmodule buck converter matlab

寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理(This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing. The code was initially implemented through vectorization. After discussions with John D Errico, I realized that my algorithm will suffer numerical accurancy problem for data with large values. Then, after trying several approaches, I found simple loops with JIT acceleration is the most efficient solution. Now, the performance of the code is comparable with kd-tree even the latter is coded in a mex file. The code is very simple, hence is also suitable for beginner to learn knn search.)

基于交叉检验的PLS算法，400组样本建模，200组样本检验(based on the cross-examination of the PLS algorithm, 400 sample modeling, testing 200 samples Group)

load flow program for radial distribution system

matlab6.5图形图像处理一书中所有的源程序，按章节分开与书中对应，共有两百个左右(matlab6.5 a graphic image processing all of the source book, with separate chapters on the book counterparts, a total of about 200)

对人脸图片用PCA降维，提取特征脸，附上ORL数据库(dimension reduction using PCA to extract eigenfaces of face images and the ORL dataset will also be provided)