Anu-TMO

J. Han and M. Kamber. Data Mining: Concepts and Techniques.

说明：  非常完善的GPS toolbox，内含中文readme以及中文翻译的介绍。 GPS TOOLBOX包含以下内容： 1、GPS相关常量和转换因子； 2、角度变换； 3、坐标系转换： 点变换； 矩阵变换； 向量变换； 4、专用测绘程序； 5、专用统计函数； 6、GPS时间工具； 7、专用GPS数据处理函数； 8、航迹和相关工具； 9、卫星位置计算； 10、高度和方位角判定，以及卫星可见性； 11、DOP（dilution of precision）计算，卫星选取和相关函数； 12、专用信号处理和Kalman滤波函数； 13、伪距和误差判定及相关函数； 14、用户位置判定及相关函数； 15、RAIM/FDE可用性和完好性评估相关函数。(Very good GPS toolbox, contains readme and the Chinese translation of the Chinese introduction. GPS TOOLBOX contains the following: 1, GPS-related constants and conversion factors 2, the point of transformation 3, coordinate system conversion: Point transformation Matrix transformation Vector transformation 4, special mapping procedures 5, special statistical functions 6, GPS time tools 7, special GPS data processing function 8, track and related tools 9, the satellite position calculation 10, determine the height and azimuth, and satellite visibility 11, DOP (dilution of precision) calculations, the satellite selection and related functions 12, special signal processing and Kalman filtering function 13, pseudo-range and error determination and related functions 14, user location determination and related functions 15, RAIM/FDE availability and integrity assessment of related functions.)

用于svc分类， 用SMO实现SVC，并在UCI数据集Iris上进行实验,2. 可借鉴现成SVM软件包，实现回归分析。 (For svc classification, using SMO to achieve SVC, and in the UCI Iris data set on the experiment, 2. SVM can learn ready-made packages, to achieve regression analysis.)

mô phỏ ng watermaking

说明：  基于Harris的掌纹图像特征提取的程序，非常的完整可靠(Harris based on palmprint image feature extraction procedures, very full and reliable)

source code for finding lung extraction

多元统计分析的教程。多因素方差分析。图形显示。函数的使用(Multivariate statistical analysis of the tutorial. Multi-factor analysis of variance. Graphical display. Function of the use of)

一个简单的ezw编解码程序,希望对大家有所帮助。(one simple code about encoding and decoding。I hope it makes any help。)

Reflectance Spectrum Computation of 1D Photonic Crystals matlab code

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.