System identification for Terahertz wave's propagation and reflection in human skin

Truong, BCQ; Tuan, HD; Kha, HH; Nguyen, HT

System identification for Terahertz wave's propagation and reflection in human skin

Truong, BCQ Tuan, HD

Kha, HH Nguyen, HT

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Publication Type:: Conference Proceeding
Citation:: 2012 4th International Conference on Communications and Electronics, ICCE 2012, 2012, pp. 364 - 368
Issue Date:: 2012-11-22

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Field	Value	Language
dc.contributor.author	Truong, BCQ	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Kha, HH	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2012-11-22	en_US
dc.identifier.citation	2012 4th International Conference on Communications and Electronics, ICCE 2012, 2012, pp. 364 - 368	en_US
dc.identifier.isbn	9781467324939	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32339
dc.description.abstract	This paper is concerned with parameter identification for the double Debye model of the Terahertz wave's propagation and reflection in human skin. The existing methods could provide estimators, which are accurate at the frequencies higher than one THz but rather row at the lower frequencies, where the majority of contrast for differentiating the changes of skin content is present. We propose another approach by using parametric quadratic optimization to locate the global optimal estimator. Simulation results confirm our reliable and prominent technique. © 2012 IEEE.	en_US
dc.relation.ispartof	2012 4th International Conference on Communications and Electronics, ICCE 2012	en_US
dc.relation.isbasedon	10.1109/CCE.2012.6315929	en_US
dc.title	System identification for Terahertz wave's propagation and reflection in human skin	en_US
dc.type	Conference Proceeding
utslib.for	090303 Biomedical Instrumentation	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 - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper is concerned with parameter identification for the double Debye model of the Terahertz wave's propagation and reflection in human skin. The existing methods could provide estimators, which are accurate at the frequencies higher than one THz but rather row at the lower frequencies, where the majority of contrast for differentiating the changes of skin content is present. We propose another approach by using parametric quadratic optimization to locate the global optimal estimator. Simulation results confirm our reliable and prominent technique. © 2012 IEEE.

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http://hdl.handle.net/10453/32339