matlab-SVD

说明：  在MATLAB下用gridfitdir实现三维图像的边缘强化，还有具体实现的实例(gridfitdir implemente surface fitting)

电力系统调度程序，运用于matlab,适用于学生科研研究(Power system scheduler)

the CPML ABC in the two-dimensional TEz FDTD grid.

杂波环境下基于JPDA的二平台2变加速运动目标航迹关联与融合仿真程序(JPDA based target tracking in clutter)

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

用于分部反馈边发射激光器亚波长光栅的模拟与计算，通过改程序可以对于具体实验具有指导作用(Division feedback for simulation and calculation of edge-emitting lasers subwavelength grating can have a guiding role for specific experiments by changing procedures)

morlet小波分析~使用matlab实现及其案例，，，，共享(Morlet wavelet analysis using matlab implementation and case, sharing)

说明：  如何在C++中使用Matlab，这份资源希望能够帮助到大家。最近看了太多关于图象处理方面的内容。前辈们都很努力啊！(How to use C++ in Matlab, the resources that we hope to be able to help. Recently read too much on the aspects of image processing. Predecessors, have worked very hard ah!)

说明：  基于matlab的概率网络模拟，源码均是matlab的.m文件，实现了一些有用的算法。(Based on the probability of network simulation matlab, matlab source are the. M file, to achieve some useful algorithms.)

在不考虑时滞的条件下，建立PH中和过程的数学模型，利用反S变换和线性PI控制器对其进行控制仿真实验。(Without considering the delay conditions, establish mathematical models of PH in the process ,and anti-S-transform and linear PI controller is used to simulater control performance in matlab.)