k_clique

MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型(MIMO channel model for MIMO channel model MIMO channel model MIMO channel model for MIMO channel model MIMO channel model for MIMO channel model)

matlab的pde工具箱很薄弱，同时只能处理有限复杂度的问题，利用comsol强大的有限元分析与多物理场的耦合性，解决相当完美。 matlab与多物理场有限元软件的结合，本程序需要安装matlab7.0以上以及comsol multiphysics 3.0以上版本，建立客户端后可以方便的利用matlab控制有限元软件，进行建模计算。 本程序描述的是点电荷周围的电场以及电势。适合于初学者(The pde matlab toolbox is very weak, and can only handle a limited complexity of the problem, by using comsol powerful finite element analysis and multi-physical field coupling to solve quite perfect. matlab and multi-physics finite element software combination, the above procedure to install matlab7.0 and comsol multiphysics 3.0 or later, after establishing the client can easily control the use of matlab finite element software to model calculations. This procedure describes the electric field around a point charge and the electric potential. Suitable for beginners)

自适应粒子群优化算法，更换目标函数后即可使用(Adaptive particle swarm optimization algorithm, can be used after replacing the objective function)

MATLAB TOOLBOX FOR MEDICAL IMAGE RECONSTRUCTION

FIR数字滤波器设计，编制计算设计的数字滤波器幅度特性和相位特性的程序，并进行实验验证。(FIR digital filter design, preparation of computational design of digital filter amplitude and phase characteristics of the program, and experimental verification.)

由于求解中国邮递员、优化等图论问题的Matlab程序，还有相关的工具箱。(Since solving the Chinese postman, graph theory and optimization problems in Matlab, as well as the associated toolbox. )

基于matlab的质子交换燃料电池动态过程电压，电流仿真模型(Dynamic process of the fuel cell voltage, current simulation models matlab proton exchange)

Matlab作图可以画各种图件、图形，并附有说明，是一款不错的画图软件(Matlab mapping can draw all kinds of maps, graphs, along with instructions, is a good drawing software)

music算法界面实现，使用matlab中的gui产生了良好的互动界面(Interface to realize music algorithm, using matlab GUI produced in good interactive interface)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)