GMM

采用非线性动力学分析方法来研究互联网拥塞控制系统中存在 的复杂非线性动力学现象，如分岔(bifurcation)、混沌(chaos)等，针对不同参数该组源程序仿真互联网拥塞控制系统频闪模型的非线性动力学现象。(The programs study the dynamic behavior in stroboscopic model of Internet congestion control system is studied. )

This FDTD 1D simulation based on Dennis Sullivan book s. Wave propagation in vacuum bacground and penetrates Dielectric media tipe I.

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

采用MATLAB调用cplex求解含有风电场的电力系统经济调度，并且考虑了场景分析的方法(Call cplex solved using MATLAB economic dispatch of power system containing wind farms, and to consider the method of scene analysis)

Port com communication

关于Matlab中曲线的插值与拟合的程序代码(Interpolation and fitting)

数字信号处理 传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此我们需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。(DSP)

小波包分析提取振动信号中的特征频率，sar图像去噪的几种新的方法，IMC-PID是利用内模控制原理来对PID参数进行计算。( Wavelet packet analysis to extract vibration signal characteristic frequency, Several new methods sar image denoising, The IMC- PID is using the internal model control principle for PID parameters is calculated.)

利用matlab解决图形转换问题，代码可直接运行(Graphics conversion problem solving using matlab, the code can be run directly)

独立主成分分析与主成分分析代码，速度比较快，而且比较好用(In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown in next sections are clear: when a rotational invariant classifier is used (as 1-NN with L2-norm) the classification results of FastICA/whitened PCA are equivalent, while the difference between Infomax and whitened data es significant but small)