Two Wavelet-based Algorithms For Chemical Recognition Using Transmission Terahertz Spectral Imaging Through Turbid MediaPaper (INDL 5)
Mon, 09 Nov 2020 06:30pm to 06:45pm
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.
Download Abstract: pid6608925.pdf
Authors: Ebrahimkhani, Mahmoud; Arbab, Hassan
Stony Brook University