Why Wiener filter not IIR

1. Is Wiener filter FIR or IIR?
2. What is the advantage of Wiener filter over inverse filter?
3. Why do we use Wiener filters?
4. What type of filter is Wiener filter?

Is Wiener filter FIR or IIR?

The causal finite impulse response (FIR) Wiener filter, instead of using some given data matrix X and output vector Y, finds optimal tap weights by using the statistics of the input and output signals.

What is the advantage of Wiener filter over inverse filter?

The Wiener filtering executes an optimal tradeoff between inverse filtering and noise smoothing. It removes the additive noise and inverts the blurring simultaneously. The Wiener filtering is optimal in terms of the mean square error.

Why do we use Wiener filters?

Wiener filters play a central role in a wide range of applications such as linear prediction, echo cancellation, signal restoration, channel equalisation and system identification. The Wiener filter coefficients are calculated to minimise the average squared distance between the filter output and a desired signal.

What type of filter is Wiener filter?

The Wiener filter is the MSE-optimal stationary linear filter for images degraded by additive noise and blurring. Calculation of the Wiener filter requires the assumption that the signal and noise processes are second-order stationary (in the random process sense).