Matlab-courseware-

image processing filter

实现信源编码的MATLAB仿真研究，并用GUI设计出可视化界面。(MATLAB source code to achieve simulation, and GUI design using the visual interface.)

说明：  出自一本书中的解决多目标优化问题的MATLAB代码(From a book to solve multi-objective optimization problem of MATLAB code)

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.)

文本信号读取、单点干扰信号的陷波滤波、低通滤波、GUI界面设计以及程序的清晰解释(Text-read, single notch filter interference signals, low pass filtering, GUI interface design as well as clear explanations of procedures)

for direction of arival

基于全程快速微分器的PID控制matlab m文件仿真模型\作图(Based the full fast differentiator PID control matlab m file simulation models mapping)

antenna introducation

贝叶斯分类器的分类原理是通过某对象的先验概率，本文详细介绍贝叶斯分类器，使用贝叶斯分类器对样本进行训练分类，得到良好分类结果，并对分类结果进行分析。(Principle of Bayesian classifiers is through prior probability of an object, the paper describes Bayesian classifier, Bayesian classifier using the training sample classification, the classification results are good, and the classification results were analyzed.)

利用输入输出数据，进行FCOR算法，对系统进行辨识，可应用于SISO控制系统性能评价(The use of input and output data, FCOR algorithm, the system identification, can be applied to SISO control system performance uation)