moxin

one of the most important areas for the application of Fuzzy Set Theory as developed by Zadeh in 1965 are Fuzzy Rule-Based Sys- tems (FRBSs).The ad hoc data-driven RB generation process proposed by Wang and Mendel in [14] has been widely known because of its simplicity and good performance.

UWB 有关的仿真程序，很全面，希望对大家有用。(UWB-related simulation program, very comprehensive)

自适应粒子群算法的应用程序，用matlab编写，适合初学者使用(adaptive PSO algorithm)

说明：  三种子波函数，sinc函数 正弦函数 Riker函数还有有限差分介质设定(Third seed wave function, sinc function, sine function has finite difference Riker media set)

清华模式识别张学工，第一次作业，基于身高体重数据进行性别分类(Pattern recognition, based on height and weight data for gender classification)

The J2EE Architect s Handbook: How to be a Successful Technical Architect for J2EE Applications by Derek Ashmore ISBN:0972954899 DVT Press © 2004 (284 pages) This handbook is a concise guide to architecting, designing, and building J2EE applications. Whether you re architect your first J2EE application or looking to keep your projects on-time and on-budget, you will refer to this handbook again and again.

简单的信道化处理信号，输入不同的信号中心频率点会得到不同信号的输出从而分离出输入信号，代码较简单直观(Simple channel processing signal, the input signal different center frequency will be output different signals to separate the input signal, the code is relatively simple and intuitive)

多井过程中的井筒计算，以及注采过程中的相关参数(Multi-well process wellbore calculations, and injection process parameters)

matlab一维码识别 利用radon算子做水平方向矫正(radon correct)

利用Matlab提取图片中的数据 从事科研或者工程的人员在文档撰写过程中，常需要将文献中的曲线与自己的结果对比，为获取原始数据，一种常用的办法是手动描点，即将原始曲线放大然后打印出来，选取一定数量的点，读出其横纵坐标，然后重绘。对于较为平坦的曲线，这种方法当然可行，但当曲线数量增加，曲线变化复杂，这种方法工作量可想而知。前段时间由于原始数据丢失，仅剩几十幅图片，本人尝试过手动描点，经历几个小时奋战，实在无法继续，索性转向matlab，借助其强大的数据处理能力，编写了两个GUI的小软件image2data、data_poly提取数据，如今大功告成，遂于大家分享。(Using Matlab to extract picture data in scientific research or engineering personnel in the process of writing documentation, often need to curve in the literature comparing the results to obtain the original data, a common approach is described in the manual, is about the original amplification curve and then print it out, select a certain number of points, read out its horizontal and vertical coordinates, and then redraw. For a flatter curve, this approach is of course possible, but when the increase in the number of curves, the complexity of the curve, this method can imagine the workload. Some time ago due to the loss of original data, except for the dozens of pictures, I tried manually tracing point, after several hours of fighting, I can not continue to simply turn to Matlab, with its powerful data processing capabilities, the preparation of two GUI software image2data, data_poly extract data, and now you' re done, then share with you.)