1. Adelaide Research & Scholarship
  2. Schools and Disciplines
  3. School of Electrical and Electronic Engineering
  4. Electrical and Electronic Engineering publications
Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/39632
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFerguson, B.-
dc.contributor.authorAbbott, D.-
dc.date.issued2001-
dc.identifier.citationFluctuation and Noise Letters (FNL), 2001; 1(2):L65-L69-
dc.identifier.issn0219-4775-
dc.identifier.issn1793-6780-
dc.identifier.urihttp://hdl.handle.net/2440/39632-
dc.description© World Scientific Publishing Company-
dc.description.abstractTerahertz pulse imaging (TPI) systems are used to obtain sub-millimeter spectroscopic measurements for a wide range of applications. This letter highlights the use of wavelet de-noising to markedly improve the SNR of the obtained data, increasing the SNR by up to 10 dB. A comparison of different wavelet families and properties is presented and the results demonstrated on THz image data of an oak leaf and an Australian $100 note.-
dc.description.statementofresponsibilityBradley Ferguson; Derek Abbott-
dc.language.isoen-
dc.publisherWorld Scientific Publishing Co. Pty. Ltd.-
dc.source.urihttp://www.worldscinet.com/cgi-bin/details.cgi?id=pii:S0219477501000226&type=html-
dc.titleWavelet de-noising of optical terahertz pulse imaging data-
dc.typeJournal article-
dc.identifier.doi10.1142/S0219477501000226-
pubs.publication-statusPublished-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
Appears in Collections:Aurora harvest 6
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.