I am reading about estimation theory, including topics like Bayesian Estimation (e.g. Wiener Filtering).
It seems that we usually define a filter in terms of tis frequency response (e.g. High Pass, Low Pass). On the other hand, Wiener Filter works by filtering out noise without specific reference to frequency domain.
How are the two related? If not, are they just two different approaches to the filtering problem?