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说明：  一些matlab程序代码，在通信原理中实现一系列实验内容(Some matlab code, in communications to achieve some functional theory)

维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； (Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )

单输入单输出的GPC的matlab实现,欢迎交流。(GPC SISO matlab implementation)

tutorial based on researchdddd

对于bpsk直扩系统的误码仿真，直扩系统对于功率、频偏、相偏的鲁棒性。(For bpsk DSSS BER simulation systems, direct expansion systems for power, frequency offset, phase offset robustness. .)

电动机的矢量仿真模型。这是基于矢量控制的simulink仿真模型。(Motor vector simulation model. This is based on vector control simulink simulation model.)

特征分解型求取离散分数阶傅里叶变换 特征分解算法通过求ＤＦＴ的核矩阵Ｆ（ｋ，ｎ）的特征值 和特征向量构造ＤＦＴ核矩阵的分数幂，以此作为Ｆａ（ｋ，ｎ） 来计算ＤＦｒＦＴ。(The kernel matrix eigenvalue decomposition algorithm for DFT F (k, n) characteristic value And the feature vectors are constructed as the fractional powers of the DFT kernel matrix, which are used as Fa (k, n) To calculate DFrFT.)

CONSX—这是一个主要子程序，调用其它于程序及输出中间结果 * !* CHECK—检查所有的点是否满足约束条件,对违背约束的点进行校正 * !* CENTR—计算中心点 * !* FUNC —目标函数，由用户提供 * ( PROGRAM COMPLEX PARAMETER(N=3,M=4,K=6) DIMENSION X(K,M),R(K,N),F(K),G(M),H(M),XC(N) INTEGER GAMMA OPEN(4,FILE= COMPDATA ) READ(4,*)ITMAX,IPRINT,ALPHA,BETA,GAMMA,DELTA READ(4,*)(X(1,J),J=1,N) IX=2097151 YFL=0. DO 100 II=2,K DO 100 JJ=1,N CALL RANDU(IX,YFL) R(II,JJ)=YFL 100 CONTINUE OPEN(2,FILE= COMPDAT.OUT ,STATUS= UNKNOWN ) WRITE(2,10) 10 FORMAT(//,10X, COMPLEX PROGRAM OF BOX ) WRITE(2,11)N,M,K,ITMAX,IPRINT,ALPHA,BETA,G )

说明：  详细讲解matlab，matlab详细教程( Explains the matlab, matlab detailed course in detail )

对于非线性时变工业过程对象，首先建立模型集来覆盖被控对象动态特性，分别建立相应的内模控制器，在系统变工况运行时，进行多模型加权自适应控制，与传统单内模控制相比，控制效果明显提高。(For the nonlinear and time-varying industrial process object, first ，we build model set to cover the dynamic characteristics of the object, then,set up a corresponding internal model controller respectively.When the system operation mode is running, multiple model weighted adaptive control has been used,and compared with the traditional single internal model control,it has improved obviously. )