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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… (More)
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Topic mentions per year

Topic mentions per year

1996-2017
01219962017

Related topics

Related topics

5 relations
Filter (signal processing)Image processingSignal processingWiener deconvolution
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Related mentions per year

Related mentions per year

1937-2018
19401960198020002020
Generalized Wiener filter
Signal processing
Image processing
Filter (signal processing)
Wiener filter
Wiener deconvolution

Papers overview

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2017
2017
Single sensor audiovisual speech source separation
The Kernel Additive Modeling (KAM) is a recent promising framework for the separation of underdetermined convolutive mixture of… (More)
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2012
2012
Contextual Filtering of CT Images Using Markovian Wiener Filters with a Non Local Means Approach for Statistical Estimation
Recently, investigations on medical imaging have been indicating a strong correlation between cases of cancers and the increasing… (More)
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2012
2012
Efficient Deconvolution Algorithm
This thesis describes the design of a new deconvolution approach known as Efficient Deconvolution algorithm so that… (More)
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2007
2007
Monaural Separation of Dependent Audio Sources Based on a Generalized Wiener Filter
This paper presents a two-stage approach for single- channel separation of dependent audio sources. The proposed algorithm is… (More)
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2005
2005
New insights into the statistical signal model and the performance bounds of acoustic echo control
The contribution of this paper is two-fold. At first, we introduce a modification of the linear statistical signal model in… (More)
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1996
1996
Adaptive restoration of textured images with mixed spectra
We consider the adaptive restoration of inhomogeneous textured images, where the individual regions are modeled using a Wold-like… (More)
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