Cyclosparsity: A New Concept for Sparse Deconvolution

Cyclosparsity: A New Concept for Sparse Deconvolution

Khalid Sabri

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1 University of Chouaib Doukkali, Morroco

GJCST Volume 14 Issue F4

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References

W Gardner (1986). Introduction to random processes: with application to signals and systems.
J Antoni,R Randall (2006). The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines.
William Gardner (1993). Exploitation of Cyclostationarity for Signal-Parameter Estimation and System Identification.
Khalid Sabri (2012). Cyclic Sparse Greedy Deconvolution.
Khalid Sabri,Mohamed El Badaoui,François Guillet,Alain Belli,Guillaume Millet,Jean Benoit Morin (2010). Cyclostationary modeling of ground reaction force signals.
C Andrieu,P Duvaut,A Doucet (1996). Bayesian deconvolution of cyclostationary processes based on point processes.
D Hatzinakos,J Ilow (1993). Recursive least squares algorithm for blind deconvolution of channels with cyclostationary inputs.
D Hatzinakos (1994). Nonminimum phase channel deconvolution using the complex cepstrum of the cyclic autocorrelation.
L Cerrato,B Eisenstein (1977). Deconvolution of cyclostationary signals.
K Cheung,S Yau (1995). Blind deconvolution of system with unknown response excited by cyclostationary impulses.
R Gribonval,M Zibulevsky (2010). Sparse Component Analysis, chapter Handbook of Blind Source Separation: Independent Component Analysis and Applications.
J Bobin,J-L Starck,Y Moudden,M Fadili (2008). Advances in Imaging and Electron Physics, chapter Blind Source Separation: The Sparsity Revolution.
S Mallat,Zhifeng Zhang (1993). Matching pursuits with time-frequency dictionaries.
Y Pati,Ramin Rezaiifar,P Krishnaprasad (1993). Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition.
S Chen,S Billings,W Luo (1989). Orthogonal least squares methods and their application to non-linear system identification.
Scott Chen,David Donoho,Michael Saunders (1998). Atomic Decomposition by Basis Pursuit.
Bashkar Rao,Kenneth Kreutz-Delgado (1999). An affine scaling methodology for best basis selection.
Robert Tibshirani (1996). Regression Shrinkage and Selection Via the Lasso.
J Duan,C Soussen,D Brie,J Idier (2009). On the properties of the solution path of the constrained and penalized l2-l0 problems.
Charles Soussen,Jérôme Idier,David Brie,Junbo Duan (2011). From Bernoulli–Gaussian Deconvolution to Sparse Signal Restoration.
Junbo Duan,Charles Soussen,David Brie,Jérôme Idier,Mingxi Wan,Yu-Ping Wang (2009). Generalized LASSO with under-determined regularization matrices.
Joel Tropp (2004). Greed is good: Algorithmic results for sparse approximation.
D Donoho,M Elad,V Temlyakov (2006). Stable recovery of sparse overcomplete representations in the presence of noise.
J Fuchs (2004). On sparse representations in arbitrary redundant basis.
D Donoho,X Huo (2001). Uncertainty principles and ideal atomic decomposition.
Massimo Fornasier,Holger Rauhut (2008). Recovery algorithm for vector-valued data with joint sparsity constraints.
Joel Tropp,Anna Gilbert,Martin Strauss (2006). Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit.
A Tropp (2006). Algorithms for simultaneous sparse approximation. Part II: Convex relaxation.
Matthieu Kowalski,Bruno Torrésani (2009). Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients.
C Dossal,S Mallat (2005). Sparse spike deconvolution with minimum scale.
J Kormylo,J Mendel (1982). Maximum likelihood detection and estimation of Bernoulli - Gaussian processes.
Y Goussard,G Demoment,J Idier (1990). A new algorithm for iterative deconvolution of sparse spike trains.
Khalid Sabri,Hervé Carfantan (2014). High resolution sparse spike hyperspectral images deconvolution.
A Dandawate,G Giannakis (1994). Statistical tests for presence of cyclostationarity.
M Ehler (2011). Shrinkage rules for variational minimization problems and applications to analytical ultracentrifugation.
D Onchis (2012). Signal Reconstruction in Multi-Windows Spline-Spaces Using the Dual System.
E Candes,C Fernandez-Granda (2012). Towards a Mathematical Theory of Super-Resolution.
(2008). Bayesian Approach to Inverse Problems.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Khalid Sabri. 2014. \u201cCyclosparsity: A New Concept for Sparse Deconvolution\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F4): .

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GJCST Volume 14 Issue F4
Pg. 19- 39

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

cyclosparsity cyclostationary deconvolution greedy periodic random impulses sparsity

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Submission ReceivedDecember 11, 2013
RevisedDecember 11, 2013
Peer Review Double Blind
Handling Editor
Accepted January 5, 2014
Published January 15, 2014

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v1.2

Issue date

September 30, 2014

Language

English

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Article Matrices

Total Score: 121

Country: Morocco

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Khalid Sabri (PhD/Dr. count: 0)

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Publish Date: 2014 09, Tue

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