datamining

说明：  ellipse fitting algorithm

几个UKF和EKF例子，本来在工具箱中附带，后经修改，以便易于理解和适应稍有不同的需求。(several UKF and EKF demos,which were attached with KF toolbox, and revised according to tracing purpose.)

Grid-Connected Boost-Half-Bridge Photovoltaic Microinverter System Using Repetitive Current Control and Maximum Power Point Tracking

网上能下载的本书的中文版均缺少89和97两页，又此书已绝版，本人只好从英文完整版中摘录缺少的内容，分别补全了这两页的内容。注：英文完整版也已经作为PDF的附件加了进去。 我也上传到了IASK，不能下载的朋友可以去搜索“(中文版)支持向量机导论.rar”(Internet can download the Chinese version of the book were missing two 89 and 97, and the book is out of print, I had to excerpts missing content from the English full version, respectively, to complement the content of the two pages. Note: The full version of English has also been added as an attachment inside a PDF. I also uploaded to the IASK, can not download friends can go search for "(Chinese version) Introduction to Support Vector Machines. Rar")

doarima.m MATLAB script to do an ARIMA(p,d,q) analysis where d is set but P and q can be vectors of values you want to try. It produces AIC and FPE (final prediction error) values for comparing models. The AIC is different than the one computed by S+, but they both minimize on the same model for the arma22.dat simulated data.

该程序（基于matlab）为小波变换在数据压缩方面的应用。原理：数据可分为高频部分和低频部分，高频部分反映了细节，而低频部分则反映概貌，故压缩部分应为高频部分。数据经此程序变换后将压缩为原来的一半。(This program (based on matlab) for the wavelet transform applications in data compression. Principle: Data can be divided into high-frequency part and low frequency, high frequency part of the reflection of the details, partly reflecting the profile of low frequency, it should be for the high frequency part of the compression part. Data will be compressed by this program change to the original half.)

应对心电图设备中的信号采集挑战,TI的方案介绍2009(ECG equipment to deal with signal acquisition challenges, TI introduced the program in 2009)

解决一些电脑的，主板，显卡。等故障，可以帮助了解电脑 (good way)

多元线性回归分析，基于matlab的开发演示(Multiple linear regression analysis based on matlab development demonstrates)

The book describes a variety of optimization problems: unconstrained, constrained, gradient, and nongradient techniques duality concepts multiobjective optimization linear, integer, geometric, and dynamic programming with applications and finite element–based optimization