A Convex Optimization Algorithm for Compressed Sensing in a Complex Domain: The Complex-Valued Split Bregman Method
The Split Bregman method (SBM), a popular and universal CS reconstruction algorithm for inverse problems with both <i>l</i><sub>1</sub>-norm and TV-norm regularization, has been extensively applied in complex domains through the complex-to-real transforming technique, e.g., M...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/20/4540 |