communication-theory-matlab-MODEL

matlab数据结构 算法工具箱, 包括堆栈 队列 2叉树 红黑树 等等(Data Structures & Algorithms Toolbox ==================================== The Data Structures & Algorithms Toolbox provides advanced data structures and algorithms for the Matlab(r) 5 environment. It implements functions to create and destroy singly and doubly linked list, stack, queue, binary tree and red-black (balanced) binary tree. Data elements can be inserted, deleted or searched for. A graphical representation of trees can be shown. All algorithms are clearly written as m-files, which allows the toolbox to be used as a teaching aid in educational data structures courses. This is the first implementation available of advanced datatypes, common in other languages, for Matlab.)

kfcm，为模糊核聚类算法，用于将低维的数据映射到高维进行分类，是较先进的算法(kfcm, the fuzzy kernel clustering algorithm for low-dimensional data is mapped to high-dimensional classification, is a more advanced algorithms)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

sliding mode control of 2 dof robotic arm

100kW三相光伏并网详细模型 MPPT使用增量电导法(Detailed model of 100 kW three-phase photovoltaic grid-connected MPPT uses incremental conductivity method)

说明：  仿真方法：1．在Matlab命令窗口中输入：TargetTracke(0,0)；进行跟踪实验仿真； 2．为了体现本文的重点，即模型切换的重要性，在Matlab命令窗口中输入：argetTracke(0,1)；可以观看如果不采用模型切换的仿真结果；3．在Matlab命令窗口中输入：Mentecarlo；进蒙特卡洛仿真； (kalman filter simulate)

光伏并网逆变器最大功率点跟踪算法MPPT的程序，是定步长跟踪。(PV MPPT )

通过在语音信号中嵌入鲁棒性水印和脆弱性水印，实现对数据的版权保护。(Embedded in the speech signal through robust watermarking and fragile watermarking, copyright protection to achieve the data.)

This is a demo execution of ECC image alignment algorithm comment two of the three following lines transform = translation transform= affine transform = homography YOU MIGHT NEED MORE ITERATIONS FOR HOMOGRAPHIES!

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. )