suanfen

face recognition by using principle component analysis

能够进行模糊像质评价,利用结构相似度进行评价(measure image quality of blurring，use simliar structure.)

旅行商问题的IAGA算法。好象很不错的程序。matlab编写的(IAGA Algorithm for Traveling Salesman Problem. It seems very good procedure. matlab prepared)

A Guide to Steady-State Voltage Stability Analysis

利用比尔萨法尔定理计算多个线框嵌套时的磁场分布(for calculating the magnetic distribution of multiple square wireframe)

元胞自动机模拟大气分布，很好的一个程序，很实用，模拟很形象(Cellular automata simulation air distribution, good a program )

说明：  系统辨识与自适应理论在matlab中的应用，内含源代码(Application of system identification and adaptive theory in MATLAB, including source code)

matlab与mas系统的结合 设计了多智能体的合作与竞争机制 效果还不错(The combination with the mas matlab system designed multi-agent cooperation and competition results were pretty good)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

Notebook for matlab