suanfadaquan

一种新的ICA盲分离方法，分离效果较好，基于SSO的统计特性，经过验证对复值信号有良好的分离效果(ICA, a new blind separation method, separation is better, based on the statistical properties of SSO, proven value of the complex signal has a good separation)

this rar file contains matlab code for face recognition using CS4VM. here the implementation was done by using CS4VM method of face recognition.

求复杂网络中的度的介数，输入网络的邻接矩阵，对分析社交网络的拓扑性质很重要(Find the degree of complexity of the network betweenness, enter the network adjacency matrix for analyzing social networks are important topological properties)

针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)

这是一篇关于敏捷建模的文章,主要内容为:敏捷建模的价值观 核心原则 补充原则 核心实践 补充实践 从混乱到有序_ AM的实践如何结合到一起. (This is an article on the agile modeling, the main contents as follows: the values of Agile Modeling the core principles of the core practice of the principle of supplementary practice from chaos to order _ AM practice how to combine together.)

Windowed Fourier transform for fringe pattern analysis (with GUI) (• Run WFT in MATLAB environment. All processed data are automatically saved in result.mat 4. File list o wft2fw.m: the basic WFT algorithm. o unwrapping_qg_trim.m: quality guided phase unwrapping o WFT.m+WFT.fig: WFT overall interface o WFTKernel.m+WFTKernel.fig: interface for WFT parameter selection o imwritescale: to save data into image o readme.docx: this file. • 5. Notice Though wft2fw.m has been used by us for some years, the GUI was developed quite recently. The purpose is to make it easier to be used. Please feedback bugs to mkmqian@yahoo.com.sg. For more information, please refer to www.ntu.edu.sg/home/mkmqian. )

说明：  RAKE接收机，实现代码为MATLAB。已经验证过。(RAKE receiver to achieve code for MATLAB. Has been verified.)

用matlab实现OFDM仿真和性能分析(Achieved with the matlab simulation and performance analysis of OFDM)

chain based routing protocol for wireless sensor networks.

基于瞬时频率的码元速率估计，mpsk函数和test_signal函数都在基于小波变换压缩包内(Symbol rate estimation based on instantaneous frequency, qpsk function and test_signal functions in the compression package based on wavelet transform)