MATLAB-simulation-and-application

本程序用来实现CSTR模型的模糊PID控制仿真(This procedure used to achieve the CSTR model simulation of the fuzzy PID control)

实现了SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks算法，适合做传感器网络分簇算法的人研究。(SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks , we implement the algorithm, and this code is suitable for those who do research in cluster algorithm in Wireless sensor network )

BPSK在AWGN信道下,不同的采样率下不同的EB/NO的误码率仿真(failed to translate)

线性神经网络 Matlab程序 附加多个案例 适合神经网络入门(Linear Neural Network)

说明：  正交匹配追踪OMP算法，包含算法本身、单次重构测试、不同测量数恢复率以及不同稀疏度恢复率。该算法主要参考自CSDN博客上的文章。(Orthogonal matching pursuit OMP algorithm, including the algorithm itself, single reconstruction test, recovery rate of different measurements and different sparsity recovery rate. This algorithm mainly refers to articles from CSDN blog.)

说明：  基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图(Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan)

it is 14bus ieee in matlab

when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high. However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator. So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.

在过零检测过程中，找过零点，并以此来进一步计算相位差等(In the zero-crossing detection to find the zero crossing, and to calculate the phase difference)

Code to simulate 2theta-omega scans for InGaN/GaN films