whitenoise-signal-generater

介绍simulink的详细使用方法，方便初学者使用(Simulink detailed introduction to use, convenient to use for beginners)

LBM法求解流体力学中的泊肃叶流问题，输入迭代次数，输出动态速度分布图。(LBM method in fluid mechanics Poiseuille flow problem, enter the number of iterations, output dynamic velocity distribution.)

This code extract Gyro calibration Coefficients of an IMU.

matlab 入门基础知识，数字图像处理系列入门教材系列之一(Basic knowledge of introduction to matlab, digital image processing one of series of introductory textbook series)

这是光谱中比较光谱之间的相似程度的算法，其中包括SA、SCF、SCM、SCA、SGA、SID(This is a degree of similarity between the spectral comparison algorithm spectrum, including SA, SCF, SCM, SCA, SGA, SID)

搭建汽车操纵稳定性和平顺性仿真中常用的魔术轮胎和dugoff轮胎，整理到一个simulink文件中，两种轮胎的模型均已和carsim中的仿真结果进行对比和验证，精度较高。(The magic tire and Dugoff tire commonly used in vehicle handling stability and ride comfort simulation are built and sorted into a Simulink file. The two tire models have been compared and validated with the simulation results in Carsim, and the accuracy is high.)

说明：  通过遗传算法优化BP神经网络，提高其收敛速度和预测准确度。(BP neural network is optimized by genetic algorithm to improve its convergence speed and prediction accuracy.)

图像数据 的融合就是图像信息处理的综合过程，来自不同的源的图像数据图像信息按一定的准则进行融合，这里是简单的实例源程序，还需要进过修改完善(The integration of image data is image information processing integrated process, from different source of image data of image information according to a certain convergence criteria, here is a simple example source code, but also need to go to revise and improve the)

说明：  带残差模型灰色预测模型.GM(1,1),残差,matlab(The grey prediction model with residual error model )

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 )