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Volumn 16, Issue 2, 2009, Pages 73-76

Wavelet reconstruction of nonuniformly sampled signals

Author keywords

AIC; LARS; Lasso; Wavelet

Indexed keywords

RESTORATION;

EID: 59149089980     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2008.2008939     Document Type: Article
Times cited : (9)

References (15)
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  • 2
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    • Fast solution of l1-norm minimization problems when the solution may be sparse
    • Nov
    • D. L. Donoho and Y. Tsaig, "Fast solution of l1-norm minimization problems when the solution may be sparse," IEEE Trans. Inf. Theory vol. 54, no. 11, pp. 4789-4812, Nov. 2008.
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    • Donoho, D.L.1    Tsaig, Y.2
  • 7
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    • Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
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    • M. Figueiredo, R. D. Nowak, and S. J. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," IEEE J. Sel. Topics Signal Process., vol. 1, no. 4, pp. 586-597, Dec. 2007.
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  • 8
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    • W. Fu, "Nonlinear GCV and quasi-GCV for shrinkage models," J. Statist. Plan. Infer., vol. 131, pp. 333-347, 2005.
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    • Fu, W.1
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    • Regression shrinkage and selection via the Lasso
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    • On the 'Degrees of Freedom' of the Lasso
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    • Can the strengths of AIC and BIC be shared? A conflict between model identification and regression estimation
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    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.