Leach_Centralized

Matlab命令大全，所有人均可以下载，希望能给与大家一定的帮助！(Matlab command Guinness, everyone can download, I hope everyone can give some help with!)

attached file is matlab code

some resources for matlab

ωKA是实现SAR图像成像的一种方法，该程序实现了ωKA的近似和精确两种成像方式，仿真参数参考《合成孔径雷达成像——算法与实现》，利用Stolt插值实现了目标成像，最后在方位向和距离向进行切片，观察成像结果。(ωKA is one of the point target imaging algorithms of SAR . This program implements both exact and approximate ways of imaging. Simulation parameters refer to the book Synthetic Aperture Radar imaging- Algorithms and Implementation .)

co operative diversity tech

说明：  MATLAB教程，叫你怎样使用简单的MATLAB程序和算法(MATLAB tutorial tell you how to use a simple MATLAB program and algorithms)

NMR and MRI simulation in matlab for chemical engineering applications

use elman net to forecast 股市 ，挺精确的(use elman net to forecast )

这是一个用matlab语音编写的完整的指纹识别程序，用matlab语言实现了识别指纹、比较两个指纹图像相似度等功能，并设计了用户界面，使用户方便地进行图片的提取和分析，同时直观地显示出比较结果，方便直观(This is a complete fingerprint recognition procedures written in a voice with matlab, matlab language used to identify fingerprints, similarity compare two fingerprint images and other functions, and design a user interface that allows users to easily extract and analyze images, while visually shows the comparison results, convenient and intuitive)

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 )