ssc_lithium_cell_2RC

窗函数法设计数字滤波器 矩形窗、海宁窗、汉明窗和布莱克曼窗 滤波特性(Window function method to design digital filters rectangular windows, Haining window, Hamming window and Blackman window filtering properties)

excitation generatrice asychrone

this is file that how you can encode cyclic code

MATLAB实现潮流计算的程序基本使用牛顿拉夫逊法进行计算(Matlab load flow)

IDE接口的相当棒的资料 不看后悔 加油兄弟们 谢谢~(IDE interface rather stick information Bukanhouhui refueling brothers Thank you ~)

说明：  Morlet小波计算视频图函数封装，可以快捷简单地调用分析数据(Morlet wavelet video map calculation function of packaging, you can call the analysis of data quick and easy way)

关于高斯白噪声的信噪比的精确计算。。。。。。。。。。。。(Accurate Calculation of Signal-to-Noise Ratio of Gauss White Noise)

经典PID控制教程 基于SIMULIN的源程序代码，希望对各位有帮助(pid contral tutorial,based on simulink source code)

Inverse Z Transformation using Matlab

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.