matlabprocess

说明：  变模态分解（EMD）的代码，适用于对非平稳非线性信号的分解，分解后得到多个IMF和一个残基。(The code of variable modal decomposition (EMD) is suitable for the decomposition of non-stationary and nonlinear signals, and after decomposition, multiple IMFs and one residue are obtained.)

islanding detection paper

Compact-Box-Burning (CBB) algorithm,用于网络分形，求覆盖网络最小盒子数的算法，是我自己写的，可以正常运行(Compact-Box-Burning (CBB) algorithm, for network fractal, seeking a minimum number of boxes overlay network algorithms that I wrote it myself, can operate normally)

基于MIT律的可调增益MARC,MIT自适应律可用于单个可调参数的情况，也可用于多个可调参数的情况(MIT-based law adjustable gain MARC, MIT adaptive law can be used in case of a single adjustable parameter can also be used in multiple situations tunable)

DTMDefaultBaseTraversers extends DTMDefaultBase.

A Fast SVDD Algorithm Based on Decomposition and Combination

高等应用数学的问题的matlab求解，学习matlab得好例子(Higher Applied Mathematics Matlab solving problems, learning good example Matlab)

对carmaker软件进行了介绍，对汽车仿真有很大的帮助，促进汽车的生产。(Software for the carmaker introduced, car simulation of great help to promote the production of cars.)

Using TF-IDF to Determine Word Relevance in Document Queries : In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to use in a query. As the term implies, TF-IDF calculates values for each word in a document through an inverse proportion of the frequency of the word in a particular document to the percentage of documents the word appears in. Words with high TF-IDF numbers imply a strong relationship with the document they appear in, suggesting that if that word were to appear in a query, the document could be of interest to the user. We provide evidence that this simple algorithm efficiently categorizes relevant words that can enhance query retri

电力系统IEEE118节点系统潮流计算所需数据(Data needed for power flow calculation of power system IEEE118 test system)