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Wavelet Shrinkage for Enhanced Chemical Recognition in the Rough Surface Diffused Terahertz Spectra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The rough surface scattering in the reflection-mode THz-TDS can result in inaccurate phase spectra, reduced signal to noise ratios, distorted or obscured resonant fingerprints, and the appearance of anomalous spectral artifacts. In this work, we demonstrate the implementation of a wavelet shrinkage technique for the retrieval of obscured resonant frequencies from the derivative of THz reflectivity of solid dielectric materials. We examine the robustness of this technique over controlled levels of rough surface scattering created using sandpapers of different grits on sample disks made from 4-aminobenzoic acid (PABA).

Original languageEnglish
Title of host publication2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020
PublisherIEEE Computer Society
Pages752-753
Number of pages2
ISBN (Electronic)9781728166209
DOIs
StatePublished - Nov 8 2020
Event45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020 - Virtual, Buffalo, United States
Duration: Nov 8 2020Nov 13 2020

Publication series

NameInternational Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz
Volume2020-November

Conference

Conference45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020
Country/TerritoryUnited States
CityVirtual, Buffalo
Period11/8/2011/13/20

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