power-systerm-in-matlab

Carrame法求解矩阵方程组，并应用于1D光子晶体场的分析(Carrame Method matrix equations, and applied to the analysis of 1D photonic crystal field)

说明：  自己写的算术编码的matlab程序,内容是把自己的名字(当然也可以是其他的文字)用算术编码编码后再解码,有详细注释.给初学编码的朋友一些参考.谢谢.(Write matlab arithmetic coding procedure is to divide his name (of course also be other text) and then decode encoded using arithmetic coding, a detailed comment. Beginners encoding a friend to some reference. Thank you.)

本实验要求掌握时域特征分析原理，并利用已学知识，编写程序求解语音信号的短时过零率、短时能量、短时自相关特征，分析实验结果，并能掌握借助时域分析方法所求得的参数分析语音信号的基音周期及共振峰。基于MATLAB的语音信号时域特征分析(In this study, the analysis required to master the principles of time-domain characteristics, and use the learned knowledge to write programs to solve short-time speech signal zero-crossing rate, short-time energy, short-term autocorrelation features, analysis of the experimental results, and can grasp the time domain by means of analytical methods pitch the determined parameter analysis of the speech signal and formant. Based on time-domain characteristics of the speech signal analysis MATLAB)

matlab书籍，精简版，很详细，很不错，适合matlab初学者(Matlab books, streamlined version, very detailed, very good, suitable for beginners matlab)

OS-EM迭代算法 用于图像重建，是一种新的图像重建方法，可以有效减少伪影(OS-EM iterative algorithm for image reconstruction, is a new image reconstruction method can effectively reduce the artifacts)

距离保护算法仿真主程序 采用故障突变量启动算法和故障突变量选相算法； 根据故障突变量选相结果确定阻抗元件计算或测距元件计算相别( Distance Protection with Fault Simulation main break variable amount of start algorithm and fault phase selection algorithm mutation mutations in the amount of fault phase selection based on the results of calculations or determine the impedance element relative to other computing devices ranging)

光流法检测matlab实现 (Detection of MATLAB optical flow method)

地位算法，有很重要的作用，还用到kpca和pca的部分知识，很有用，希望您采纳(Status algorithm, a very important role, still use kpca and pca some knowledge, is very useful, and hope you adopted )

说明：  实验室约束鸡群算法，经过实验室同仁试验过，绝对简单真实，适合初学者。(Laboratory constrained chicken swarm algorithm, which has been tested by colleagues in the laboratory, is absolutely simple and true, and suitable for beginners.)

说明：  texture feature extraction using matlab