Chemical Identification in the Specular and Off-Specular Rough-Surface Scattered Terahertz Spectra Using Wavelet Shrinkage

We present the development and implementation of a novel wavelet shrinkage technique for the retrieval of obscured characteristic resonant signatures in the scattered terahertz (THz) reflectivity of molecular crystals. In this implementation, the wavelet basis functions associated with the absorptio...

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Main Authors: Mahmoud E. Khani, M. Hassan Arbab
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9354630/
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author Mahmoud E. Khani
M. Hassan Arbab
author_facet Mahmoud E. Khani
M. Hassan Arbab
author_sort Mahmoud E. Khani
collection DOAJ
description We present the development and implementation of a novel wavelet shrinkage technique for the retrieval of obscured characteristic resonant signatures in the scattered terahertz (THz) reflectivity of molecular crystals. In this implementation, the wavelet basis functions associated with the absorption features were identified using the second-order total variation of the wavelet coefficients. Additionally, wavelet coefficients at certain scales were modified using the phase function corrections and wavelet hard thresholding. Reconstruction of the original spectra using these modified wavelet coefficients yielded the exact resonant frequencies of the chemicals, which were otherwise unrecognizable in the spectral artifacts of the rough surface scattering. We examined the robustness of this method over controlled levels of rough surface scattering, validated using the Kirchhoff approximation, in spectroscopic targets made from α-lactose monohydrate and 4-aminobenzoic acid (PABA), which have close spectral lines. We successfully retrieved the spectral absorption fingerprints in both specular and off-specular reflection geometries. This technique can be utilized for stand-off material characterization using the THz reflection spectroscopy in uncontrolled environments and potentially can be adopted for other broadband spectroscopic modalities.
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spelling doaj.art-17ac8783dee3483e8acd7583a6a48f4c2022-12-21T19:53:26ZengIEEEIEEE Access2169-35362021-01-019297462975410.1109/ACCESS.2021.30594249354630Chemical Identification in the Specular and Off-Specular Rough-Surface Scattered Terahertz Spectra Using Wavelet ShrinkageMahmoud E. Khani0https://orcid.org/0000-0002-3058-6247M. Hassan Arbab1https://orcid.org/0000-0002-6565-3358Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USADepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USAWe present the development and implementation of a novel wavelet shrinkage technique for the retrieval of obscured characteristic resonant signatures in the scattered terahertz (THz) reflectivity of molecular crystals. In this implementation, the wavelet basis functions associated with the absorption features were identified using the second-order total variation of the wavelet coefficients. Additionally, wavelet coefficients at certain scales were modified using the phase function corrections and wavelet hard thresholding. Reconstruction of the original spectra using these modified wavelet coefficients yielded the exact resonant frequencies of the chemicals, which were otherwise unrecognizable in the spectral artifacts of the rough surface scattering. We examined the robustness of this method over controlled levels of rough surface scattering, validated using the Kirchhoff approximation, in spectroscopic targets made from α-lactose monohydrate and 4-aminobenzoic acid (PABA), which have close spectral lines. We successfully retrieved the spectral absorption fingerprints in both specular and off-specular reflection geometries. This technique can be utilized for stand-off material characterization using the THz reflection spectroscopy in uncontrolled environments and potentially can be adopted for other broadband spectroscopic modalities.https://ieeexplore.ieee.org/document/9354630/Chemical identificationmaximal overlap discrete wavelet transform (MODWT)phase function effectspyramid algorithmreflection-mode spectroscopyrough surface scattering
spellingShingle Mahmoud E. Khani
M. Hassan Arbab
Chemical Identification in the Specular and Off-Specular Rough-Surface Scattered Terahertz Spectra Using Wavelet Shrinkage
IEEE Access
Chemical identification
maximal overlap discrete wavelet transform (MODWT)
phase function effects
pyramid algorithm
reflection-mode spectroscopy
rough surface scattering
title Chemical Identification in the Specular and Off-Specular Rough-Surface Scattered Terahertz Spectra Using Wavelet Shrinkage
title_full Chemical Identification in the Specular and Off-Specular Rough-Surface Scattered Terahertz Spectra Using Wavelet Shrinkage
title_fullStr Chemical Identification in the Specular and Off-Specular Rough-Surface Scattered Terahertz Spectra Using Wavelet Shrinkage
title_full_unstemmed Chemical Identification in the Specular and Off-Specular Rough-Surface Scattered Terahertz Spectra Using Wavelet Shrinkage
title_short Chemical Identification in the Specular and Off-Specular Rough-Surface Scattered Terahertz Spectra Using Wavelet Shrinkage
title_sort chemical identification in the specular and off specular rough surface scattered terahertz spectra using wavelet shrinkage
topic Chemical identification
maximal overlap discrete wavelet transform (MODWT)
phase function effects
pyramid algorithm
reflection-mode spectroscopy
rough surface scattering
url https://ieeexplore.ieee.org/document/9354630/
work_keys_str_mv AT mahmoudekhani chemicalidentificationinthespecularandoffspecularroughsurfacescatteredterahertzspectrausingwaveletshrinkage
AT mhassanarbab chemicalidentificationinthespecularandoffspecularroughsurfacescatteredterahertzspectrausingwaveletshrinkage