## Abstract Compressed sensing (CS) holds considerable promise to accelerate the data acquisition in magnetic resonance imaging by exploiting signal sparsity. Prior knowledge about the signal can be exploited in some applications to choose an appropriate sparsifying transform. This work presents a
β¦ LIBER β¦
Compressed sensing for next generation instruments
β Scribed by A. Asensio Ramos
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 120 KB
- Volume
- 331
- Category
- Article
- ISSN
- 0004-6337
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