Tree-Based Backtracking Orthogonal Matching Pursuit for Sparse Signal Reconstruction
Tree-Based Backtracking Orthogonal Matching Pursuit for Sparse Signal Reconstruction
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Publisher
Cairo, Egypt: Hindawi Limiteds
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Language
English
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Publisher
Cairo, Egypt: Hindawi Limiteds
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Compressed sensing (CS) is a theory which exploits the sparsity characteristic of the original signal in signal sampling and coding. By solving an optimization problem, the original sparse signal can be reconstructed accurately. In this paper, a new Tree-based Backtracking Orthogonal Matching Pursuit (TBOMP) algorithm is presented with the idea of...
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Full title
Tree-Based Backtracking Orthogonal Matching Pursuit for Sparse Signal Reconstruction
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TN_cdi_doaj_primary_oai_doaj_org_article_8f1ec3d60dc945aca9e68639ecf3a3b3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8f1ec3d60dc945aca9e68639ecf3a3b3
Other Identifiers
ISSN
1110-757X
E-ISSN
1687-0042
DOI
10.1155/2013/864132
