Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.19/2503
Título: Batch algorithms of matching pursuit and orthogonal matching pursuit with applications to compressed sensing
Autor: Wang, Huiyuan
Vieira, José M. N.
Ferreira, Paulo J. S. G.
Jesus, Bruno
Duarte, Isabel
Palavras-chave: iterative methods
signal reconstruction
signal sampling
compressed sensing
Data: Jun-2009
Editora: IEEE
Resumo: Batch algorithms of matching pursuit (MP) and orthogonal matching pursuit (OMP) are proposed in this paper. In both algorithms, the original iteration procedures are modified in the following way. Instead of finding a single best-matched atom in each iteration, we find a number of best-matched atoms to speed up the convergence, - a batch version. Then optimized coefficients are computed based on these atoms. Numerical simulations in the application to compressed sensing show that the proposed algorithms are much faster than the original ones, while similar reconstruction precision is obtained.
Peer review: yes
URI: http://hdl.handle.net/10400.19/2503
DOI: 10.1109/ICINFA.2009.5205034
ISBN: 978-1-4244-3608-8
Aparece nas colecções:ESTGV - DMAT - Documentos de congressos (comunicações, posters, actas)

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