msf4

The MATLAB M-file plots the level crossing rate for an input signal using the lcr function.

说明：  遗传算法在现在各个领域都有很好的应用 时比较前沿的但研究很多的算法 感兴趣的大家可以看看(Neural networks in all areas now have very good applications, but more cutting-edge research of interest to many of the algorithms we can see)

这是一本MATLAB编程的入门级指导书，可以帮助程序初级学习者显著提高编程能力，同时，本书更侧重与MATLAB在电力系统中的应用，希望对您有用。(This is an entry-level MATLAB programming guide book that can help the program significantly improved primary learners programming capability, while the book is more focused on applications in the power system with MATLAB, I hope useful for you.)

波达估计优化算法的matlab程序代码，doa估计在matlab里的实现(DOA alor)

基于MATLAB利用Particle-in-cell模型,对梯形管内壁等离子体离子注入过程,进行了二维数值模拟.计算结果表明在中心电极附近出现了“阳极鞘层”,该鞘层内部不存在离子,而且在鞘层边缘离子密度最高.在上下管壁上的离子注入剂量呈现“m”形分布.通过对注入过程中等离子体密度分布和不同时间段管壁不同位置离子注入剂量的跟踪,发现“阳极鞘层”扩展行为是导致“m”形分布的原因.由于梯形管形状的不对称性,“阳极鞘层”的边缘向梯形长底方向扩展较快.在注入初始时刻离子注入的能量很低,随着时间延长离子能量逐渐升高,这是由离子初始位置决定的.可见梯形管自身形状决定了鞘层形状和最终的离子注入能量和剂量分布.(Based on MATLAB use Particle-in-cell model, the trapezoidal pipe wall plasma ion implantation process, the numerical simulation of two-dimensional calculation results show that in the vicinity of the center electrode to a "anode sheath," which does not exist inside the plasma sheath, and the highest in the sheath edge ion density ion implantation dose showing the upper and lower walls of the "m"-shaped distribution through the process of injecting the plasma density distribution and the wall at different locations in different time periods ion implantation dose tracking, found that "anode sheath "extension behavior is leading to" m "-shaped distribution of the reasons due to the asymmetry of the trapezoidal shape of the tube," Edge anode sheath "extension to the end of a long trapezoid direction quickly in the initial moment of implantation energy ion implantation is low ion energy with time gradually increased, which is determined by the initial position of the ion. visible trapezoida)

降维工具箱，有PCA，LDA等等比较全面，里面有说明。(Dimensionality reduction toolbox, PCA, LDA, and so a more comprehensive, there are instructions.)

This Project is basic explanation about BPSK Design in Simulink, How the constellation diagram has been obtained from the basic design.

文献资料，利用Copula函数度量整合风险的(Literature, the use of integrated risk Copula function metrics)

用MATLAB实现最速下降法_牛顿法和共轭梯度法求解实例(Using MATLAB steepest descent method _ Newton method and conjugate gradient method for solving examples)

独立分量分析的累积量方法，分离信号 ica方法(Independent Component Analysis cumulant method, separation method of signal ica)