PCA

matlab programming for engineers

一种流形学习算法（很好用），包括主成分分析、因子分析、贝叶斯分析，包含收发两个客户端的链路级通信程序。( A fluid manifold learning algorithm (good use), Including principal component analysis, factor analysis, Bayesian analysis, Contains two clients receive link-level communications program.)

张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications( Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data)

matlab实现了五类灰色关联度模型的计算,考虑雨衰 阴影 和多径影响，主要是基于mtlab的程序。( matlab implements five gray correlation degree computing model, Consider shadow rain attenuation and multipath effects Mainly based on the mtlab procedures.)

buck convertor and two-loop control

说明：  一个仓储堆放的matlab的遗传算法代码，能出结果的(A warehouse stacked matlab genetic algorithm code to the results of)

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)

matlab上课课件，《MATLAB程序设计教程》电子教案。第一章到第十三章全(matlab class courseware, " MATLAB Programming Guide" electronic lesson plans. The first chapter to chapter XIII full)

HMM matlab程序，可用于齿轮、轴承振动信号的故障诊断适合初学者理解HMM。(HMM matlab program for beginners to understand HMM.)

说明：  有序统计均值类恒虚警检测器（OSCAGO and OSCASO CFAR），综合了CA和OS检测器的特点。(detectors based on ordered statistic and cell averaging constant false alarm rate (OSCA-CFAR))