work-DFE-the-very-best-

仿真图是速度、距离、幅度三维图像，基于matlab GUI界面设计,用MATLAB实现动态聚类或迭代自组织数据分析，IDW距离反比加权方法，FMCW调频连续波雷达的测距测角，对HARQ系统的吞吐量分析，结合PCA的尺度不变特征变换(SIFT)算法，是路径规划的实用方法。( FIG simulation speed, distance, amplitude three-dimensional image, Based on matlab GUI interface design, Using MATLAB dynamic clustering or iterative self-organizing data analysis, IDW inverse distance weighting method, FMCW frequency modulated continuous wave radar range and angular measurements, HARQ throughput analysis of the system, Combined with PCA scale invariant feature transform (SIFT) algorithm, Is a practical method of path planning.)

说明：  基于电力系统节点无功电压控制灵敏度，电气距离的聚类分析(Cluster Analysis of Reactive Power and Voltage Control Sensitivity and Electrical Distance of Power System Nodes)

支持向量机,可以在MATLAB环境下运行.(Support Vector Machines can be run under MATLAB environment.)

For a thorough description of the norms, see the Chapter 4 of Robust and Optimal Control, Zhou, Glover, Doyle 1996. Here the point is to give some lines of code illustrating what are the H2 and Hinf norms of LTI systems. In that sense, it is also illustrated that the H2 norm is smooth in the space of the system parameters, whereas the Hinf norm is non-smooth locally Lipschitz (since it is a min-max problem, thus prone to the waterbed effect ).

自行编写的加入噪声估计的KSVD去噪算法，利用SVD分解进行噪声估计( KSVD denoising algorithm to prepare the addition of noise estimation, the use of SVD decomposition noise estimation )

this is a SDIF algorithm code for deinterleaving radar pulse

roc 曲线的画法源代码 方便广大初学者应用(PLOTROC Plot receiver operating characteristic)

模糊聚类处理过程中计算传递闭包的程序。指定行列后，自动读取Excel中数据。(fuzzy clustering)

使用平均方差的方法实现加性和乘性噪声的去除(The method used to achieve the average variance of additive and multiplicative noise removal)

随着应用的越来越复杂，对数据同步和存储的要求越来越多，有时候我们面对大量复杂的数据加载和数据同步代价，尤其是如果单服务器无法承载大量应用数据的时候，我们如何可以实现动态扩展服务器已达到负载均衡的目标(As applications are becoming more complex, the data synchronization and storage requirements are more and more, sometimes we are facing a large amount of data loading and data synchronization costs, especially if a single server cannot load a lot of the time of application data, how can we realize the dynamic extension of the server has reached the aim of load balancing)