nearest_neighbor_node

混沌工具箱2及其相关参考文献，可以很方便计算与混沌相关内容。(Chaos Toolbox 2 and its related references, can be easily calculated and chaos related to the content.)

Gardner 方法时间同步，时间同步非常重要的方法(Gardner way for time-sychronizing)

sar成像，基于距离多普勒算法的matlab成像算法，具有距离徙动校正功能(SAR imaging, matlab imaging algorithm based on range Doppler algorithm, has the range migration correction function)

航空信道模型，包含直射路径和延迟路径，信息经过编码后进信道，经过滤波后输出(Air channel model, including direct path and delayed path, the information encoded backward channel, through the filtered output)

用脉冲耦合神经网络实现灰度图像的分割,基于matlab 6.5版本以上的开发环境(Using pulse coupled neural network segmentation of gray image)

This is the source code for 2D metrics in gird generation.

一个很棒的网络控制系统仿真软件，Truetime工具箱包括TrueTime Computer与Truetime Network 两个接口模块。计算机模块具有灵活的实时内核，A/D和D/A转换器，网络接口和外部通道。计算机模块按照用户定义的任务执行，代码采用Matlab或C++编写。(a terrific network control system simulation software, including Truetime Toolbox Truetime TrueTime Computer and Network Interface Module 2. The computer module with flexible real-time kernel, A/D and D/A converters, network interface and external access. The computer module based on user-defined mandate, code using Matlab or C preparation.)

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.)

An example of an interactive GUI in matlab

说明：  Pareto方面的文章Pareto memetic algorithm for multiple objective optimization with an industrial application(Pareto memetic algorithm for multiple objective optimization with an industrial application)