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Proceedings Paper

Application of wavelet transforms in terahertz spectroscopy of rough surface targets
Author(s): M. Hassan Arbab; Dale P. Winebrenner; Eric I. Thorsos; Antao Chen
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Paper Abstract

Previously, it has been shown that scattering of terahertz waves by surface roughness of a target can alter the terahertz absorption spectrum and thus obscure the detection of some chemicals in both transmission and reflection geometries. In this paper it is demonstrated that by employing Maximal Overlap Discrete Wavelet Transform (MODWT) coefficients, wavelet-based methods can be used to retrieve spectroscopic information from a broadband terahertz signal reflected from a rough surface target. It is concluded that while the commonly used direct frequency domain deconvolution method fails to accurately characterize and detect the resonance in the dielectric constant of rough surface lactose pellets, wavelet techniques were able to successfully identify such features.

Paper Details

Date Published: 19 February 2010
PDF: 7 pages
Proc. SPIE 7601, Terahertz Technology and Applications III, 760106 (19 February 2010); doi: 10.1117/12.845944
Show Author Affiliations
M. Hassan Arbab, Univ. of Washington (United States)
Dale P. Winebrenner, Univ. of Washington (United States)
Eric I. Thorsos, Univ. of Washington (United States)
Antao Chen, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 7601:
Terahertz Technology and Applications III
Laurence P. Sadwick; Creidhe M. M. O'Sullivan, Editor(s)

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