SVD-watermarking

基于matlab的粒子群优化算法,可以解决多目标优化问题(PSO algorithm based on matlab,it can do the optimization problem )

对于39节点配网潮流计算，用前推回代法编写的matlab程序，加压后直接运行(For the 39 node distribution network power flow calculation, using forward and backward substitution method to write matlab program, run directly after pressurization)

matlab本身没有绘制三轴曲线的命令，附件放入matlab命令文件夹中可用plotyyy命令调用(matlab triaxial curve itself does not draw commands into matlab command attachment folder available plotyyy command calls)

基于SIR粒子滤波器的故障诊断方法，参数有误报率和漏报率(SIR particle filter based on the fault diagnosis methods, parameters and reporting the rate of false alarm rate)

Cognitive radio all the IEEE papers

MATLAB学习的课件，包括学习MATLAB定义变量画图等(MATLAB learning courseware, including learning MATLAB define variables Paint etc.)

主要是应用pso工具箱来优化函数griewank，实现粒子群对函数的测试(Mainly applications pso toolbox to optimize function griewank, and particle swarm function test)

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.)

关于模拟退火遗传算法的MATLAB程序，欢迎各位下载学习，相互交流。(On simulated annealing genetic algorithm MATLAB program, welcome to download the study, each other.)

bidirectional CSA(cross search algorithm) for motion estimation