MATLAB 维纳滤波论文 希望可以有用-MATLAB Wiener filter paper hope that we can be useful

已知d(n)=0.8d(n-1)+w(n),w(n)为高斯白噪声，方差为0.36,x(n)=d(n)+v(n),v(n)为方差为1的白噪声-Known d (n) = 0.8d (n-1)+ w (n), w (n) is white Gaussian noise with variance 0.36, x (n) = d (n)+ v (n), v ( n) is the variance of white noise 1

基于最佳维纳滤波器的盲解卷积算法,包括算法原理，代码和实验结果！-Based on the best Wiener filter blind deconvolution algorithm, including the algorithm principle, code and experimental results!

Wiener filters have two main applications, system identification, and signal conditioning. System identification: the goal is to model the unknown system that produces a known output ( ) a known input ( )-Wiener filters have two main applications,