mxzr

FIR Filter Design This chapter treats the design of linear-pha()

说明：  处理ipix官网下载的雷达原始数据，将方位角以及俯仰角进行处理(Processing radar raw data downloaded from IPIX official website)

PCA 数据降维 PTYTHON 数据分析/挖掘(PCA dimensionality reduction data mining/analysis)

说明：  EMD经验模态分解算法程序，适合非线性，非平稳时间序列的处理(EMD empirical mode decomposition algorithm program)

说明：  一种无监督的聚类算法，基于密度聚类，名称为基于快速搜索与寻找密度峰值的聚类(Clustering by fast search and find of desity peaks)

boxcox函数的python实现，引用该函数可将偏态分布调整为正态分布(Python implementation of box Cox function)

基于matlab实现的一个在线迁移学习算法OTL,(Based on matlab to achieve an online migration learning algorithm OTL,)

一种神经网络算法：极限学习机（ELM)，包括分类和回归，仿真验证无误，适合初学者练习(A data mining algorithm: limit learning machine (ELM), including classification and regression, simulation verification is unmistakable, suitable for beginners to practice)

胡清华邻域粗糙集源码，matlab源代码，方便可用(Hu Qinghua neighborhood rough sets source code, matlab source code, easy to use)

分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)