imageperss

是mimo仿真程序里面的一段小程序，非常适用于各种mimo程序里面用，很好用(Mimo simulation program is inside a small program that is ideal for use inside various mimo procedures, useful)

基于bdpca重构的matlab程序，附带图片，适合于表情识别初学者研究学习。(a matlab code of bdpca reconstruction with some expression pictures which is really useful for expression recognition researchers.)

利用matlab来模拟线光栅，虽然代码看似简单，其实要模拟好这一过程并不容易，分享下本人的方案，效果还不错，有图说明(Using matlab to simulate the line grating, although the code looks simple, but good to simulate this process is not easy to share, under my program, the results were good, there are map shows)

神经网络滑模控制器设计的matlab源代码，对于研究滑模边结构控制的同学很有用。(Neural network sliding mode controller design matlab source code, for studying the structure of sliding mode control edge classmates useful.)

Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.

说明：  对受迫振动的非线性系统碰撞仿真，适合相关人员交流学习。可以针对不同刚度，频率，间隙进行调整。(Collision simulation of forced vibration of non-linear system is suitable for related personnel to communicate and learn.)

这里介绍的案例研究演示如何使用MATLAB来建立测量的燃气经营权，在新英格兰的植物组合相关的风险的申请。在Excel中的应用与实施用MATLAB进行了分析所有的接口。该应用程序允许用户指定的7种植物，包括能力，热率，可变操作和维护成本，最低运行时的特点。这个组合可以用一个简单的调度backtested历史天然气和电力价格的策略来计算利润和机组运行的历史数据。风险措施，通过模拟计算到使用天然气和混合模型在MATLAB中实现，模拟市场价格为每调度方案和计算现金流量从厂房的运作产生未来的电力价格。该现金流量的分布进行分析，产生了90％和95％的现金流量在风险衡量每个工厂以及用于发电资产组合。这些功能全部是提出了一个简洁的Excel的前端。 题为“介绍ETRM为例”的文件将指导，通过分析不同的组件。(The case study presented here demonstrates using MATLAB to build an application for measuring the risks associated with a portfolio of gas-fired power plants operated in New England. The application has an interface implemented in Excel with all of the analytics performed by MATLAB. The application allows the user to specify the characteristics of the 7 plants including the capacity, heat rate, variable operation and maintenance costs and minimum run time. This portfolio can be backtested using a simple dispatch strategy on historical gas and electricity prices to compute historical profit and plant operation statistics. The risk measures are computed by simulating gas and electricity prices into the future using a hybrid model implemented in MATLAB, simulating the dispatch for each scenario of market prices and computing cash-flows arising from the operation of the plants. The distribution of the cash-flows is analyzed to produce a 90 and 95 cash-flow at risk measure for each plant )

AM信号的循环谱的matlab代码实现，初学者适合 (The AM signal of the cyclic spectrum of matlab code, suitable for beginners )

毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 RPIjWY 二叉树算法，同时结合了哈夫曼编码二叉树的 JCCUmxQ综合。(Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of the right RPIjWY , combined with the binary tree Huffman coding JCCUmxQ comprehensive.)

matlab课件，入门教程，很好的！我们学校的教材！(matlab study)