Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 233,747,345 papers from all fields of science
Search
Sign In
Create Free Account
Blind deconvolution
Known as:
Blind
In electrical engineering and applied mathematics, blind deconvolution is deconvolution without explicit knowledge of the impulse response function…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
13 relations
Blind equalization
Cepstrum
Convolution
Deblurring
Expand
Broader (2)
Estimation theory
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Lipschitz and total-variational regularization for blind deconvolution
Yu-Mei Huang
,
M. Ng
2008
Corpus ID: 127701677
In [3], Chan and Wong proposed to use total variational regularization for both images and point spread functions in blind…
Expand
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…
Expand
2004
2004
Multichannel blind deconvolution
Liangsuo Ma
2004
Corpus ID: 118117870
This thesis studies some issues in the multichannel blind deconvolution (MBD) problem. MBD studies the problem of recovering the…
Expand
2003
2003
FREQUENCY DOMAIN REALIZATION OF A MULTICHANNEL BLIND DECONVOLUTION ALGORITHM BASED ON THE NATURAL GRADIENT
M. Joho
,
Philip Schniter
2003
Corpus ID: 4988964
This paper describes two efficient realizations of an adaptive multichannel blind deconvolution algorithm based on the natural…
Expand
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…
Expand
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…
Expand
1999
1999
Robust blind second-order deconvolution
A. Gorokhov
,
M. Kristensson
,
B. Ottersten
IEEE Signal Processing Letters
1999
Corpus ID: 14931797
Second-order blind deconvolution of single input multiple output (SIMO) finite impulse response (FIR) channels is considered. A…
Expand
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…
Expand
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…
Expand
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…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE