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Blind deconvolution

Known as: Blind 
In electrical engineering and applied mathematics, blind deconvolution is deconvolution without explicit knowledge of the impulse response function… 
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Papers overview

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2015
2015
The maximum a posterior (MAP)-based blind deconvolution framework generally involves two stages: blur kernel estimation and non… 
2013
2013
Blind deconvolution involves the estimation of a sharp signal or image given only a blurry observation. Because this problem is… 
2009
2009
Recently, Li, Hwu and Ratazzi have proposed a physical-layer security design to guarantee low probability of interception (LPI… 
Highly Cited
2007
Highly Cited
2007
A robust dereverberation method is presented for speech enhancement in a situation requiring adaptation where a speaker shifts… 
Highly Cited
2006
Highly Cited
2006
This paper addresses the blind separation of convolutive and temporally correlated mixtures of speech, through the use of a… 
2004
2004
In this paper, we present a new filter decomposition method for multichannel blind deconvolution of nonminimum-phase systems… 
Highly Cited
2003
Highly Cited
2003
A quasi maximum likelihood framework for blind deconvolution of images is presented. We generalize the relative Newton algorithm… 
2002
2002
We present in this paper a study of the imaging properties of the Large Binocular Telescope interfer- ometer, focusing our… 
2000
2000
A new two-stage algorithm is proposed for the deconvolution of multi-input multi-output (MIMO) systems with colored input signals… 
1999
1999
Second-order blind deconvolution of single input multiple output (SIMO) finite impulse response (FIR) channels is considered. A…