Howtosignalprocessing
- What is Wiener filter in signal processing?
- What is Wiener filter in speech enhancement?
- What are the limitations of Wiener filter?
What is Wiener filter in signal processing?
In signal processing, the Wiener filter is a filter used to produce an estimate of a desired or target random process by linear time-invariant (LTI) filtering of an observed noisy process, assuming known stationary signal and noise spectra, and additive noise.
What is Wiener filter in speech enhancement?
The Wiener filter is a linear estimator and minimizes the mean-squared error between the original and enhanced speech. The algorithm is implemented in the frequency domain and depends on the filter transfer function from sample to sample based on the speech signal statistics; the local mean and the local variance.
What are the limitations of Wiener filter?
Wiener filters are unable to reconstruct frequency components which have been degraded by noise. They can only suppress them. Also, Wiener filters are unable to restore components for which H(u,v)=0. This means they are unable to undo blurring caused by bandlimiting of H(u,v).
