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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Bibliographic Details
Main Authors: Yang, Zai, Xie, Lihua, Zhang, Cishen
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2014
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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