mvdr

一个有关MATLAB学习的电子教材资料，可以由浅入深的进行学习，此外对MATLAB深层研究也有一定帮助(a MATLAB program language teaching book)

在悉尼大学EKF-SLAM仿真平台的基础上开发，使用Compressed Extended Kalman Filter解决SLAM问题，最初由Jose Guivant and Eduardo Net提出，程序由Haiqiang Zhang和Lihua Dou实现 (CEKF-SLAM is a Compressed Extended Kalman Filter-based SLAM simulator written under Matlab. )

Sani sand implementaton model using linearrizations

这是利用二维小波变化对图像进行消噪的例程，图像所含噪声主要是白噪声，主要集中在高频部分，程序给予了实现(Routine changes in the two-dimensional wavelet image denoising, image noise is mainly contained in the white noise is mainly concentrated in the high frequency part of the program given to the realization)

Face Detection, neural network

matlab代码元沙发三国电饭锅额收到了方恨少飞是飞(matlab yes)

HARQ程序，其中包括CRC检错、前向纠错、反馈重传等(HARQ process, including the CRC error detection, forward error correction, feedback, retransmission, etc.)

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.)

本程序采用8结点四边形单元，分析固定位移边界条件的弹性力学平面问题(This procedure using 8-node quadrilateral element, analysis of fixed displacement boundary conditions of the plane problem in elasticity)

莱斯信道的仿真与建模，包含突发干扰的仿真，应用于手机信号与基站的通信。(Rice channel simulation and modeling, including simulation of burst interference, used in mobile phones and base station communication signal.)