An improved auto-calibration algorithm based on sparse Bayesian learning framework
This letter considers the multiplicative perturbation problem in compressive sensing, which has become an increasingly important issue on obtaining robust performance for practical applications. The problem is formulated in a probabilistic model and an auto-calibration sparse Bayesian learning algor...
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Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/99635 http://hdl.handle.net/10220/17417 |
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Institution: | Nanyang Technological University |
Language: | English |