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ME116计算机应用授课大纲详细介绍MATLAB基本知识及其应用 (Introduction to MATLAB)

说明：  两类二维相关正态分布条件下的最小错误率贝叶斯分类器，基于最小风险的贝叶斯分类器，Parzen窗法非参数估计分类器程序，Fisher线性判别法分类器程序。(Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window method estimates non-parametric classification procedures, Fisher Linear Discriminant classifier program.)

基于高维模型的径向基插值算法，用于求解高维模型系数，建立高维模型(Radial basis interpolation algorithm based on high dimensional model, used for solving high dimensional model coefficient, high dimensional model is established )

辛普森数值方法求积分，并非本人所写，来源于网络，共大家分享(simpson numerical method)

该程序是matlab代码编写。其内容为一种改进的基于峭度的盲源分离开关算法。可用于语音信号处理及数字图像处理等领域。(Matlab code of the program is written. It contains an improved kurtosis-based blind source separation algorithm switch. Can be used for voice signal processing and digital image processing and other fields.)

Here is the currrent controller in physical RL(resistance- inductance) circuit where you can control current in power system

Fotran95接口用于MATLAB API 的设计中，比较好用。(Fortran 95 Interface to MATLAB API )

基于多尺度的小波边缘检测的matlab的代码，含有去噪算法(Edge detection based on wavelet multiscale matlab code, containing de-noising algorithm)

灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)

仿真软件MATLAb搭出来的一个光伏电池并入微电网模型，大家可以参考下(Simulation software MATLAb take out a photovoltaic cell and nuanced grid model, we can refer to)