A Novel Memory-Efficient Fast Algorithm for 2-D
The basic theories of compressed sensing (CS) turn around the sampling and reconstruction of 1-D signals. To deal with 2-D signals (images), the conventional treatment is to convert them into1-D vectors. This has drawbacks, including huge memory demands and difficulties in the design and calibration...
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| Outros Autores: | , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2015
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.19/2502 |
| País: | Portugal |
| Oai: | oai:repositorio.ipv.pt:10400.19/2502 |