Parallel hyperspectral coded aperture for compressive sensing on GPUs

The application of compressive sensing (CS) to hyperspectral images is an active area of research over the past few years, both in terms of the hardware and the signal processing algorithms. However, CS algorithms can be computationally very expensive due to the extremely large volumes of data colle...

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Detalhes bibliográficos
Autor principal: Bernabé, Sérgio (author)
Outros Autores: Martin, Gabriel (author), Nascimento, Jose (author), Bioucas-Dias, José M. (author), Plaza, António (author), Silva, Vítor (author)
Formato: article
Idioma:eng
Publicado em: 2016
Assuntos:
Coded aperture compressive sensing
CS
Graphics processing units
GPUs
High-performance computing hyperspectral imaging
Texto completo:http://hdl.handle.net/10400.21/6098
País:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/6098

Texto Completo

http://hdl.handle.net/10400.21/6098

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