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Type: Conference paper
Title: Scattering robust features for classification of materials using terahertz
Author: Kaushik, M.
Ng, B.
Fischer, B.
Abbott, D.
Citation: Proceedings of the 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2011), held in Adelaide, Australia, December 6-9 2011: pp.33-36
Publisher: IEEE
Publisher Place: CD
Issue Date: 2011
ISBN: 9781457706738
Conference Name: Intelligent Sensors, Sensor Networks and Information Processing (7th : 2011 : Adelaide, Australia)
Statement of
Mayank Kaushik, Brian W.-H. Ng, Bernd M. Fischer and Derek Abbott
Abstract: Terahertz spectroscopy has emerged as an important tool for identification and classification of materials, which exhibit absorption features at specific and distinct frequency bins in the THz spectrum. The scattering of terahertz radiation from granular substances can significantly distort the spectral fingerprint of the material under study. In this paper we propose a signal processing based technique to mitigate the effects of scattering from the measured terahertz spectrum to produce features that can be used for scattering invariant classification of material using THz-TDS. © 2011 IEEE.
Rights: Copyright status unknown
DOI: 10.1109/ISSNIP.2011.6146581
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Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

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