Subsampled circulant matrix based analogue compressed sensing

Yang, X; Tao, X; Guo, YJ; Huang, X; Cui, Q

Subsampled circulant matrix based analogue compressed sensing

Yang, X Tao, X Guo, YJ

Huang, X

Cui, Q

Permalink

Publication Type:: Journal Article
Citation:: Electronics Letters, 2012, 48 (13), pp. 767 - 768
Issue Date:: 2012-06-21

Closed Access

	Filename	Description	Size
	06222092.pdf	Published Version	122.52 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Yang, X	en_US
dc.contributor.author	Tao, X	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Cui, Q	en_US
dc.date.issued	2012-06-21	en_US
dc.identifier.citation	Electronics Letters, 2012, 48 (13), pp. 767 - 768	en_US
dc.identifier.issn	0013-5194	en_US
dc.identifier.uri	http://hdl.handle.net/10453/113862
dc.description.abstract	The modulated wideband converter (MWC) is an attractive analogue compressed sensing technique proposed recently. Unfortunately, the MWC has high hardware complexity owing to its parallel structure. To reduce the complexity, proposed is a novel subsampled circulant matrix based analogue compressed sensing (SCM-ACS) scheme. Using the cyclic shifts of the Zadoff-Chu sequence, the SCM-ACS scheme reduces the number of physical parallel channels from m to 1 with larger processing time, where m ranges from several dozen to several hundred. It is proved that when m=O(r log 2 M log 3 r) the measurement matrix of the SCM-ACS scheme satisfies the restricted isometry property condition with probability 1-M -O(1), where M is the length of the Zadoff-Chu sequence, and r is the sparsity of the input signal. Simulation results show that the SCM-ACS scheme outperforms the MWC on recovery performance. © 2012 The Institution of Engineering and Technology.	en_US
dc.relation.ispartof	Electronics Letters	en_US
dc.relation.isbasedon	10.1049/el.2012.0366	en_US
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Subsampled circulant matrix based analogue compressed sensing	en_US
dc.type	Journal Article
utslib.citation.volume	13	en_US
utslib.citation.volume	48	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.issue	13	en_US
pubs.publication-status	Published	en_US
pubs.volume	48	en_US

Abstract:

The modulated wideband converter (MWC) is an attractive analogue compressed sensing technique proposed recently. Unfortunately, the MWC has high hardware complexity owing to its parallel structure. To reduce the complexity, proposed is a novel subsampled circulant matrix based analogue compressed sensing (SCM-ACS) scheme. Using the cyclic shifts of the Zadoff-Chu sequence, the SCM-ACS scheme reduces the number of physical parallel channels from m to 1 with larger processing time, where m ranges from several dozen to several hundred. It is proved that when m=O(r log 2 M log 3 r) the measurement matrix of the SCM-ACS scheme satisfies the restricted isometry property condition with probability 1-M -O(1), where M is the length of the Zadoff-Chu sequence, and r is the sparsity of the input signal. Simulation results show that the SCM-ACS scheme outperforms the MWC on recovery performance. © 2012 The Institution of Engineering and Technology.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/113862