Application of wavelet transforms in terahertz spectroscopy of rough surface targets

M. Hassan Arbab; Dale P. Winebrenner; Eric I. Thorsos; Antao Chen

doi:10.1117/12.845944

18 February 2010 Application of wavelet transforms in terahertz spectroscopy of rough surface targets

M. Hassan Arbab, Dale P. Winebrenner, Eric I. Thorsos, Antao Chen

Proceedings Volume 7601, Terahertz Technology and Applications III; 760106 (2010) https://doi.org/10.1117/12.845944
Event: SPIE OPTO, 2010, San Francisco, California, United States

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.

Citation Download Citation

M. Hassan Arbab, Dale P. Winebrenner, Eric I. Thorsos, and Antao Chen "Application of wavelet transforms in terahertz spectroscopy of rough surface targets", Proc. SPIE 7601, Terahertz Technology and Applications III, 760106 (18 February 2010); https://doi.org/10.1117/12.845944

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