adaptive wiener filter with matlab code
) \) and additive noise \( n(n) \): \[ y(n) = x(n) + n(n) \] The goal of the Wiener filter is to produce an estimate \( \hat{x}(n) \) that minimizes the mean square error: \[ \text{MSE} = E\left[ (x(n) - \hat{x}(n))^2 \right] \] Wiener