Spectral-Analysis

dijkstra输入邻接矩阵，起讫点，输出最短路径(This function is built on the dijkstra.m function written by Jorge)

使用MATLAB写的维纳滤波程序.可以直接运行.并且有详细注解(using MATLAB wrote Wiener filtering process. Direct operations. And a detailed explanation)

功率普估计，周期图法，burg法，levenson法(power, the cycle map, burg, France levenson)

It contains 4 matlab codes for ZF,MMSE,ML equalizer for MIMO systems and 1 document based on linear detector for MIMO system

BP神经网络客流量预测算法的研究，用于基于matlab平台对铁路、公路的客流量进行预测(BP neural network traffic prediction algorithm, based on the the matlab platform on the railway, highway traffic forecast)

Power Spectrum Estimation

这是一个MATLAB7.0基础与提高例题的所有源码，希望对MATLAB7.0学习者能有所帮助。(This is a foundation and raise the MATLAB7.0 example of all-source, in the hope that students can MATLAB7.0 help.)

MATLAB scripts for conversions to 10dB and 20dB as well as the inverse conversion of both.

说明：  DOA中的经典，music算法，还有说明，亲测很好用，分享给大家(music DOA in the classic, music algorithm, there are instructions, pro test is very easy to use, share with you)

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 )