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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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Related topics
Related topics
13 relations
Blind equalization
Cepstrum
Convolution
Deblurring
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Broader (2)
Estimation theory
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Restoration of blurred images using Blind Deconvolution Algorithm
Ms.S.P. Ramya
,
Kalasalingam
,
Anand Nagar
International Conference on Emerging Trends in…
2011
Corpus ID: 6647000
Image restoration is the process of recovering the original image from the degraded image. Aspire of the project is to restore…
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2009
2009
Multi-channel landmine detection radar signal processing using blind deconvolution
D. Daniels
,
R. Allan
European Radar Conference
2009
Corpus ID: 22721924
Landmine detection using multichannel radar poses many signal processing challenges, but the main issue lies with the variability…
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2006
2006
Frequency-domain blind deconvolution based on mutual information rate
A. Larue
,
J. Mars
,
C. Jutten
IEEE Transactions on Signal Processing
2006
Corpus ID: 188123
In this paper, a new blind single-input single-output (SISO) deconvolution method based on the minimization of the mutual…
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2004
2004
Semi-blind deconvolution of neural impulse response in fMRI using a Gibbs sampling method
S. Makni
,
P. Ciuciu
,
J. Idier
,
J. Poline
IEEE International Conference on Acoustics…
2004
Corpus ID: 14622140
In functional magnetic resonance imaging (fMRI), the hemodynamic response function (HRF) represents the impulse response of the…
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Review
2002
Review
2002
A Survey of Blind Source Separation and Blind Deconvolution
Liu Ju
2002
Corpus ID: 64438508
Blind signal processing is attractive in the community of signal processing.Blind source separation and Blind deconvolution are…
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2002
2002
Blind deconvolution with minimum Renyi's entropy
Deniz Erdoğmuş
,
J. Príncipe
,
L. Vielva
European Signal Processing Conference
2002
Corpus ID: 9139364
Blind techniques attract the attention of many researchers due to their numerous promising applications in different fields of…
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1998
1998
The application of blind channel identification techniques to prestack seismic deconvolution
Hui Luo
,
Yanda Li
Proceedings of the IEEE
1998
Corpus ID: 58957857
One objective of seismic signal processing is to identify the layered subsurface structure by sending seismic wavelets into the…
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1998
1998
Cascade neural networks for multichannel blind deconvolution
Seungjin Choi
,
Andrzej Cichocki
1998
Corpus ID: 57054131
The authors present a new simple but efficient and powerful extension of Bussgang-type blind equalisation algorithms which can…
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Highly Cited
1997
Highly Cited
1997
Multichannel blind signal separation and reconstruction
S. Shamsunder
,
G. Giannakis
IEEE Transactions on Speech and Audio Processing
1997
Corpus ID: 6565438
The separation of multiple signals from their superposition recorded at several sensors is addressed. The methods employ…
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1997
1997
Bayesian blind deconvolution for mobile communications
T. Clapp
,
S. Godsill
1997
Corpus ID: 9448266
This paper discusses the problem of restoring a digital input signal which has been degraded by an unknown FIR filter in additive…
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