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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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
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Subjects: | |
Online Access: | 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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Institution: | Nanyang Technological University |
Language: | English |
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