matlab_tool

TCT算法 用于宽带聚焦的一种算法 自己编的一段 也不一定对(TCT algorithm is an algorithm for broadband-focused section of its code is not necessarily)

simulink models of pv array

文件多自由度.m为单独的文件，单独执行即可，可以得到一个3自由度的系统受到脉冲作用的结果。 文control.m,plotresult.m,duoziyoudu.mdl为一个完整的程序，先执行control.m，而后执行duoziyoudu.mdl文件，最后plotresult.m文件画出结果。使用的是kobe地震波.(Document multi-degree of freedom. M as a separate document, a separate implementation can, you can get a 3-DOF system are the result of impulse. Text control.m, plotresult.m, duoziyoudu.mdl for a complete procedure, the first implementation of control.m, then the implementation of duoziyoudu.mdl documents, the final document drawn plotresult.m results. Kobe using seismic waves.)

介绍了matlab的命令大全，以及相关的matlab的应用(Introduced the matlab command Daquan, and related applications matlab)

这个程序讲的是SMPC的算法实现，欢迎大家下载交流。(This program stresses the SMPC algorithm implementation, welcome to download exchange.)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

数学规划基础课后作业，北京航空航天大学最优化，牛顿法，最速下降法，回溯线搜索(Mathematics programming foundation homework, Beihang University optimization, Newton method, steepest descent method, backtracking line search)

说明：  PLS算法的实现以及对TE过程的预测效果(PLS Algorithm implementation and prediction of TE process)

包括无监督和监督的机器学习技术 • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression(Highlights include unsupervised and supervised machine learning techniques including: • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression)

对于特征维数降维的matlab工具箱，包括PCA LDA　ＰＰＣＡ　等(Matlab Toolbox for Dimensionality Reduction (v0.7.1- June 2010) )