The Median Modified Wiener Filter (MMWF) was invented as an informational filter by Carlo Vittorio Cannistraci, and was proposed for the first time for application in denoising of two-dimensional gel electrophoresis maps in proteomics. The reference article is:
CV Cannistraci, FM Montevecchi, M Alessio
Proteomics 9 (21), 4908-4919
In a new article under review, the 3D extension of the median-modified-Wiener-filter (MMWF) and also its novel variation named MMWF* is proposed for the first time.
The performance of the new MMWF on 2D/3D non-stationary signals is even better, at least on our test datasets, than MMWF and wavelet-denoising. Noticeably, MMWF* gains stable high performance almost invariant to diverse window-size settings, which might represent a consistent advantage in automatic computational pipelines for denoising of non-stationary signals.
Below you can find the Matlab code for:
- the two-dimensional Median Modified Wiener Filter (MMWF_2D_website.m) proposed in the first published article
- the three-dimensional Median Modified Wiener Filter (MMWF_3D_website.m) proposed in a new article under review
- the novel two-dimensional variation of the MMWF that is named MMWF* (MMWF_2D_website.m) proposed in a new article under review
- the novel three-dimensional variation of the MMWF that is named MMWF* (MMWF_3D_website.m) proposed in a new article under review