col-toolbox

sparse Bayesain learning algorithms

LMS RLS equalization simulation

这是二次规划的一些matlab小程序，希望用的上(This is a quadratic programming Matlab applet)

状态反馈预测控制例程，对给定的阶跃值通过合理选择控制步长可以实现良好的跟踪特性。(State feedback predictive control routine, the value of a given step by step control can be a reasonable choice to achieve good tracking performance.)

它主要介绍了主成分分析法的步骤以及matlab实现所调用的函数。(It describes the steps to the main component analysis, and the called function matlab implementation.)

Matlab about Interpolating and Fitting

说明：  EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

face recognition in matlab using pca lda both............................

可以通过matlaB来进行仿真，得到很好地迭代控制的效果，开环和闭环的迭代控制算法的仿真(Can by matlaB to simulation, iterative control effect, the open-loop and closed-loop iterative control algorithm simulation)

组合的FSK_BPSK_DPSK几种方式的集合的仿真训练内容，仅供参考，如果有价值那我会更高兴。(FSK_BPSK_DPSK combination of the methods set of simulation training content, for reference purposes only, If the value then I would be more pleased.)