assignmentsolution

Half wave fourier analysis in power system

用matlab实现单极性归零码的信号波形以及其功率谱(Using matlab to achieve unipolar NRZ signal waveform and its power spectrum)

C++标准库，C++ Standard Library，是类库和函数的集合，其使用核心语言写成，由c++标准委员会制定，并不断维护更新。(The C++ standard library, C++ Standard Library, is a set of class libraries and function, the use of the core language, developed by the c++ Standards Committee, and continue to maintain and update.)

The Matlab Fuzzy Logic tool box

灰色模型 gm(1 1) 二次拟合 matlab (gm（1，1）matab)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

Simulation of AR process

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

东南大学短学期MATLAB课程PPT，帮助你轻松学习MATLAB。(MATLAB short-term courses, Southeast University, PPT, to help you easily learn MATLAB.)

说明：  使用线性模型对数据进行多项式拟合和正弦拟合(Polynomial and Sinusoidal Fitting of Data Using Linear Model)