Bayesian Compressive Sensing Based on Importance Models
To solve the problem that all row signals use the same reconstruction algorithm, a type of Bayesian compressive sensing based on importance models is proposed, which reconstructs more important signals firstly even if losing some unimportant signals. Compared to Bayesian compressive sensing whose pe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2013-06-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/june_2013/Special%20Issue/P_SI_390.pdf |