kpca1

a complete biblio to control the asynchronous machine

用Dijkstra algorithm 算法实现的路由协议，适用链路状态矢量协议ospf等， (matlab 源码）(This program uses the Dijkstra algorithm to find the lowest cost paths from every node to every other node. )

空时自适应处理杂波建模的文章。分析非常详细，具有参考价值。(The space-time adaptive processing clutter modeling article. Very detailed analysis, has reference value. )

it is PDF for How to write the right JML for our code.. Very Helpful for new users

本matlab程序用DFP法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program using DFP method for solving the minimum multivariate model (given initial point and precision conditions).)

流行学习方法局部保持投影（LPP）算法MATLAB代码(Popular learning methods locality preserving projections (LPP) algorithm MATLAB code)

说明：  压缩传感的几篇硕博士论文，可以帮助新手入门和毕业生写论文(Compressed sensing several Dissertations, and graduates can help beginners write papers)

This is PAPR for CPM-SC-FDMA

电动汽车行驶工况分析与识别 分析了混合动力汽车行驶工况和辨别方法(Analysis and identification of driving conditions of electric vehicles, analysis of driving conditions and identification methods of hybrid vehicles)

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)