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Two Wavelet-based Algorithms for Chemical Recognition Using Transmission Terahertz Spectral Imaging through Turbid Media

  • Stony Brook University

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

2 Scopus citations

Abstract

Dielectric heterogeneity in addition to wavelength-scale air voids and granular particles lead to significant electromagnetic scattering in the transmission-mode THz-TDS. These scattering processes result in the distorted or obscured resonant signatures, a frequency-dependent extinction loss, and the appearance of anomalous spectral artifacts, imposing severe challenges on the real-world automatic material characterization schemes. In this work, we use a combination of the wavelet multiresolution analysis, the principal component analysis, and the bimodality coefficient to simultaneously identify all the resonant frequencies of a heterogeneous sample embedded beneath a highly scattering turbid medium.

Original languageEnglish
Title of host publication2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020
PublisherIEEE Computer Society
Pages80-81
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
ISSN (Print)2162-2027
ISSN (Electronic)2162-2035

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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