Recovery of Compressively Sampled Sparse Signals using Cyclic Matching Pursuit

Bob L. Sturm, Mads Græsbøll Christensen, Rémi Gribonval

Eksport af forskningsdata: Konferencebidrag uden forlag/tidsskriftPosterForskningpeer review

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Resumé

We empirically show how applying a pure greedy algorithm cyclically
can recover compressively sampled sparse signals as well
as other more computationally complex approaches, such as orthogonal greedy algorithms,
iterative thresholding, and $\ell_1$-minimization.
OriginalsprogEngelsk
Udgivelsesdato2011
PublikationsstatusUdgivet - 2011
BegivenhederSPARS2011 - Edinburgh, Storbritannien
Varighed: 27 jun. 2011 → …

Konference

KonferenceSPARS2011
LandStorbritannien
ByEdinburgh
Periode27/06/2011 → …

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Recovery

Citer dette

Sturm, B. L., Christensen, M. G., & Gribonval, R. (2011). Recovery of Compressively Sampled Sparse Signals using Cyclic Matching Pursuit. Poster præsenteret på SPARS2011, Edinburgh, Storbritannien.
Sturm, Bob L. ; Christensen, Mads Græsbøll ; Gribonval, Rémi. / Recovery of Compressively Sampled Sparse Signals using Cyclic Matching Pursuit. Poster præsenteret på SPARS2011, Edinburgh, Storbritannien.
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Sturm, BL, Christensen, MG & Gribonval, R 2011, 'Recovery of Compressively Sampled Sparse Signals using Cyclic Matching Pursuit', SPARS2011, Edinburgh, Storbritannien, 27/06/2011.

Recovery of Compressively Sampled Sparse Signals using Cyclic Matching Pursuit. / Sturm, Bob L.; Christensen, Mads Græsbøll; Gribonval, Rémi.

2011. Poster præsenteret på SPARS2011, Edinburgh, Storbritannien.

Eksport af forskningsdata: Konferencebidrag uden forlag/tidsskriftPosterForskningpeer review

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AU - Christensen, Mads Græsbøll

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N2 - We empirically show how applying a pure greedy algorithm cyclicallycan recover compressively sampled sparse signals as wellas other more computationally complex approaches, such as orthogonal greedy algorithms,iterative thresholding, and $\ell_1$-minimization.

AB - We empirically show how applying a pure greedy algorithm cyclicallycan recover compressively sampled sparse signals as wellas other more computationally complex approaches, such as orthogonal greedy algorithms,iterative thresholding, and $\ell_1$-minimization.

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Sturm BL, Christensen MG, Gribonval R. Recovery of Compressively Sampled Sparse Signals using Cyclic Matching Pursuit. 2011. Poster præsenteret på SPARS2011, Edinburgh, Storbritannien.