@inproceedings{5124a7faddc248ada19ed00a19907659,
title = "Application of wavelet transforms in terahertz spectroscopy of rough surface targets",
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.",
keywords = "Maximal Overlap Discrete Wavelet Transform (MODWT), Multi Resolution Analysis (MRA), Rough surface scattering, Terahertz time-domain reflection spectroscopy, Wavelet methods",
author = "Arbab, \{M. Hassan\} and Winebrenner, \{Dale P.\} and Thorsos, \{Eric I.\} and Antao Chen",
year = "2010",
doi = "10.1117/12.845944",
language = "English",
isbn = "9780819479976",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Terahertz Technology and Applications III",
note = "Terahertz Technology and Applications III ; Conference date: 27-01-2010 Through 28-01-2010",
}