How does a Wiener filter work?
The goal of the Wiener filter is to compute a statistical estimate of an unknown signal using a related signal as an input and filtering that known signal to produce the estimate as an output. For example, the known signal might consist of an unknown signal of interest that has been corrupted by additive noise.
What is wiener2 in Matlab?
wiener2 uses a pixelwise adaptive Wiener method based on statistics estimated from a local neighborhood of each pixel. example. [ J , noise_out ] = wiener2( I , [m n] ) returns the estimates of the additive noise power wiener2 calculates before doing the filtering.
What is Wiener filter in DSP?
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.