least-square-a-least-norm-in-matlab

说明：  自己写的关于用matlab画的bezier curve的程序，可以在次基础上，添加曲线修补的功能(Ploting the bezier)

一个开环滤波器的设计程序，是用MATLAB实现的，值得初学者下载(An open-loop filter design procedures, using MATLAB, it is worth downloading for beginners)

removal of impulse noise using adptive window trimmed filter

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)

说明：  S变换的源代码，实现对各种信号的频谱分析。该方法优越于短时傅里叶变换。(S transform source code, and the analysis of the spectrum of various signals. This method is superior to the short time Fourier transform.)

mat lab code .. which converts any to csv file format

this code will run Lorenz attractor. the function file is lorenz.m and the call file is lorenz1.m

说明：  pca 源程序 能用，针对不同问题只要稍作修改即可。(pca)

matlab实例算法1 之图形应用篇 实用 对初学者大有裨益(Matlab algorithm of graphic example 1 articles )

用MCE算法训练分类器，用Train.txt里的数据进行训练，用Test.txt的数据进行性能检测(Use MCE training algorithm of MCE to train the classifier, use the training data in Train.txt to train the classifier and use the data in the Test.txt to test the performance of the classifier )