An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

We consider linear inverse problems where the solution is assumed to have a sparse expansion on an arbitrary preassigned orthonormal basis. We prove that replacing the usual quadratic regularizing penalties by weighted 𝓁p‐penalties on the coefficients of such expansions, with 1 ≤ p ≤ 2, still regula...

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Veröffentlicht in:	Communications on pure and applied mathematics Jg. 57; H. 11; S. 1413 - 1457
Hauptverfasser:	Daubechies, I., Defrise, M., De Mol, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.11.2004 Wiley John Wiley and Sons, Limited
Schlagworte:	Algebra Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Computer science; control theory; systems Exact sciences and technology Linear and multilinear algebra, matrix theory Linear equations Mathematics Numerical analysis Numerical analysis. Scientific computation Numerical linear algebra Sciences and techniques of general use Theoretical computing Linear problem Thresholding algorithm Applied mathematics Ideal Iterative method Mathematical expansion Penalty method Inverse problem
ISSN:	0010-3640, 1097-0312
Online-Zugang:	Volltext
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