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- W3136117112 abstract "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." @default.
- W3136117112 created "2021-03-29" @default.
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- W3136117112 date "2020-11-08" @default.
- W3136117112 modified "2023-09-25" @default.
- W3136117112 title "Two Wavelet-based Algorithms for Chemical Recognition Using Transmission Terahertz Spectral Imaging Through Turbid Media" @default.
- W3136117112 doi "https://doi.org/10.1109/irmmw-thz46771.2020.9370625" @default.
- W3136117112 hasPublicationYear "2020" @default.
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