particle-swarm-optimization

高斯噪声环境下宽带矢量信号仿真(Gaussian noise environment simulation of broadband vector signal)

使用补偿法对电力系统进行静态安全分析的MATLAB编程语言(Static security analysis)

对于淹没在复高斯白噪声中的信噪比为-5dB二次调频信号，在矩形窗长为256的情况下，滤波器组时频检测仿真(for drowned in the complex Gaussian white noise in the signal-to-noise-dB second FM signal in the long rectangular windows of the 256 cases, the time-frequency filters Detection Simulation)

And OR Not gate in cellular learning automata

CMA算法的simulink实现,并且加了gui控制程序使用,编译环境为matlab2014b(Simulink CMA algorithm implementation, and added a gui control program, the compiler environment matlab2014b)

MatLab编写的均值滤波、中值滤波、高斯滤波 等图像处理函数(Written in MatLab mean filtering, median filtering, Gaussian filtering and other image processing functions)

MATLAB信号处理宝典（matlab探索和研究）此为英文版(MATLAB book english)

蚁群算法，计算各个城市之间的线路问题，使用matlab实现(aco ant colony optimization，matlab)

采用基本三角、方波信号等，对ECG心电信号仿真(Using the basic triangle, square wave signals, for ECG ECG simulation)

最小二乘回归法（PLSR：partial least squares regression)：是一种新型的多元统计数据分析方法，它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。(Least squares regression (PLSR: partial least squares regression): a new type of multivariate statistical data analysis methods, the main research is more dependent variable regression modeling of multi-argument, especially when highly linear within each variable When using partial least squares regression method is more effective. In addition, partial least squares regression better solution to the problem of the number of samples is less than the number of variables.)