鲁棒&脆弱

OOK modulation for Radio-over-fibre system. Intensity modulation direct detection

基于非线性主成分分析的自适应变步长盲源分离算法(Based on the nonlinear principal component analysis of adaptive variable step length blind source separation algorithm is proposed )

input: param: parameters of the LMGE algorithm param.mu, param.alpha, param.beta are regularization parameters. param.p: dimension of shared subspace param.k: number of nearest neighbors for Laplacian matrix X: input data Y: groundtruth labels output: model.W: matrix W Reference: Web and Personal Image Annotation by Mining Label Correlation with Relaxed Visual Graph Embedding Yi Yang, Fei Wu, Feiping Nie, Heng Tao Shen, Yueting Zhuang and Alex Hauptmann. contact: yyang@cs.cmu.edu (Web and Personal Image Annotation by Mining Label Correlation with Relaxed Visual Graph Embedding )

function thah simulates a fading channel without gaussien nose

永磁同步电机的仿真模型，matlab文件，可实现闭环，计算力矩(model of permanent magnet synchronous motor)

说明：  这是一个能够实现卡尔曼滤波的完整OFDM系统。(THE OFDM system with kalman)

二极管箝位五电平电路建模与仿真的mdl文件，本人所作作业，绝对可以运行。(Diode-clamped five-level circuit modeling and simulation mdl file, I made the job can definitely run.)

瑞萨数据手册指令集瑞萨数据手册指令集瑞萨数据手册指令集(zhilingji)

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)

2 matlab files, combining to perform the Augmented Dickey-Fuller unit root test in Matlab. Useful for detecting auto-correlations and check for stationarity in time series, check for spurious regression, etc.