image-recogniton

single degree of freedom numerical integration for structural dynamics

说明：  关于水平集算法的重要文章，详细介绍了算法的具体过程和方程(Level set algorithm on the important article, detailing the specific process of the algorithm and the equation)

MATLAB编写的计算一幅图像投影熵，用来计较两幅图像的相似程度(MATLAB calculations prepared by an image projection entropy, is used to care about the similarity of two images)

This is a very good book on Robust optimization that covers all the essentials of robust optimization.

radar problems and solutions

mathematical model of asynchrounous machine

说明：  中位数近似算法实现的背景减除。matlab代码。(Median approximation algorithm for background subtraction. matlab code.)

2012年全国大学生数学建模竞赛题目--葡萄酒的评价。文件中包含葡萄酒成分数据（Excel文件）、各种数据统计处理的MATLAB函数（已封装好，直接调用），包括：数据预处理、灰色预测、灰色关联度、基于熵权法的模糊综合评价、主成分分析、系统聚类、多元线性回归等程序。(Wines Evaluation from the title of 2012 National Undergraduate Mathematical ModelingContest. The file includes many MATLAB codes about statistical analysis of data.For example: Principal component analysis Grey Relational Analysis Fuzzy Comprehensive Evaluation Based on Entropy Method System Clustering Grey Prediction Multiple linear regression and so on. We can call them directly.)

this is new approach for fuel cell control.it is really helpfull.

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.