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摘要
In the framework of the multitask Bayesian compressive sensing (BCS) paradigm, two innovative approaches for the solution of coherent imaging problems are proposed within the first-order Born approximation and the Rytov approximation.Selected numerical results are reported to compare the proposed techniques with state-of-the-art BCS approaches as well as global optimization-based methods.
- 出版日期2013-7
