Joint-structured-sparsity-based classification for multiple-measurement transient acoustic signals
This paper investigates the joint-structured-sparsity-based methods for transient acoustic signal classification with multiple measurements. By joint structured sparsity, we not only use the sparsity prior for each measurement but we also exploit the structural information across the sparse represen...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 42(2012), 6 vom: 22. Dez., Seite 1586-98
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1. Verfasser: |
Zhang, Haichao
(VerfasserIn) |
Weitere Verfasser: |
Zhang, Yanning,
Nasrabadi, Nasser M,
Huang, Thomas S |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2012
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Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |