Accurate signal recovery in quantized compressed sensing
Compressed sensing (CS) studies the recovery of a high dimensional signal from its low dimensional linear measurements under a sparsity prior. This paper is focused on the CS problem with quantized measurements. An algorithm is proposed based on a Bayesian perspective that treats measurement noises...
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| Main Authors: | , , |
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| 其他作者: | |
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2014
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/101861 http://hdl.handle.net/10220/19739 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290462 |
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| 機構: | Nanyang Technological University |
| 語言: | English |