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:	Yang, Zai, Xie, Lihua, Zhang, Cishen
Other Authors:	School of Electrical and Electronic Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
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

id	sg-ntu-dr.10356-101861
record_format	dspace
spelling	sg-ntu-dr.10356-1018612019-12-06T20:45:54Z Accurate signal recovery in quantized compressed sensing Yang, Zai Xie, Lihua Zhang, Cishen School of Electrical and Electronic Engineering International Conference on Information Fusion (FUSION) (15th : 2012) DRNTU::Engineering::Electrical and electronic engineering 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 and quantization errors separately and allows data saturation. It is shown to improve the recovery accuracy in comparison with existing approaches by numerical simulations. Published version 2014-06-13T03:21:02Z 2019-12-06T20:45:54Z 2014-06-13T03:21:02Z 2019-12-06T20:45:54Z 2012 2012 Conference Paper Yang, Z., Xie, L., & Zhang, C. (2012). Accurate signal recovery in quantized compressed sensing. 2012 15th International Conference on Information Fusion (FUSION), 2531-2536. https://hdl.handle.net/10356/101861 http://hdl.handle.net/10220/19739 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290462 en © 2012 International Society of Information Fusion. This paper was published in 2012 15th International Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) with permission of International Society of Information Fusion. The paper can be found at the following official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290462. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Yang, Zai Xie, Lihua Zhang, Cishen Accurate signal recovery in quantized compressed sensing
description	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 and quantization errors separately and allows data saturation. It is shown to improve the recovery accuracy in comparison with existing approaches by numerical simulations.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Yang, Zai Xie, Lihua Zhang, Cishen
format	Conference or Workshop Item
author	Yang, Zai Xie, Lihua Zhang, Cishen
author_sort	Yang, Zai
title	Accurate signal recovery in quantized compressed sensing
title_short	Accurate signal recovery in quantized compressed sensing
title_full	Accurate signal recovery in quantized compressed sensing
title_fullStr	Accurate signal recovery in quantized compressed sensing
title_full_unstemmed	Accurate signal recovery in quantized compressed sensing
title_sort	accurate signal recovery in quantized compressed sensing
publishDate	2014
url	https://hdl.handle.net/10356/101861 http://hdl.handle.net/10220/19739 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290462
_version_	1681041503098503168

Accurate signal recovery in quantized compressed sensing

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