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Generalized Wiener filter

The Wiener filter as originally proposed by Norbert Wiener is a signal processing filter which uses knowledge of the statistical properties of both… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
The restored images in structured illumination microscopy (SIM) can be affected by residual fringes due to a mismatch between the… 
2017
2017
The Kernel Additive Modeling (KAM) is a recent promising framework for the separation of underdetermined convolutive mixture of… 
2013
2013
Structured Illumination Microscopy is a simple and effective method to remove out-of-focus light in widefield fluorescence… 
2012
2012
This thesis describes the design of a new deconvolution approach known as Efficient Deconvolution algorithm so that… 
2009
2009
In this paper, we propose a new hybrid Bivariate Complex Fourier Wavelet Regularized Deconvolution (Bi-ComForWaRD) that is an… 
2007
2007
This paper presents a two-stage approach for single- channel separation of dependent audio sources. The proposed algorithm is… 
1995
1995
A new speech enhancement scheme based on a generalized Wiener filter formulation is proposed. A ternary-valued parameter is… 
1993
1993
We consider the adaptive restoration of inhomogeneous textured images degraded by linear blur and additive white Gaussian noise…