Dispersion-Independent Terahertz Classification Based on Geometric Algebra for Substance Detection

Zhou, S. L.; Valchev, D. G.; Dinovitser, A.; Chappell, J. M.; Iqbal, A.; Ng, B. W-H.; Kee, T. W. and Abbott, D. (2016). Dispersion-Independent Terahertz Classification Based on Geometric Algebra for Substance Detection. In: 41st International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz), 25-30 Sep 2016, Copenhagen, Denmark.

DOI: https://doi.org/10.1109/IRMMW-THz.2016.7758626

Abstract

We demonstrate and validate Geometric Algebra (GA) based terahertz (THz) signal classification of various powders in tablet form of various thicknesses, and compare the results with a conventional Support Vector Machine (SVM) approach. By using geometric algebra we can perform classification independently of dispersion and hence independently of the transmission path length through the sample. In principle, it may be possible to extend the GA coordinate-free transformation to other types of pulsed signals, such as pulsed microwaves or even acoustic signals in such fields as seismology. The classifier is available for download at Github, https://github.com/swuzhousl/Shengling-zhou/blob/geometric-algebra-classifier/GAclassifier/

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About

• Item ORO ID
• 60118
• Item Type
• Conference or Workshop Item
• ISSN
• 2162-2035
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Not Set	016YFC0502301	National Key R&D Program of China
  Not Set	XDJK2014c132	Fundamental Research Funds for the Central Universities
  Not Set	FT120100351	The Australian Research Council
  2014 European Fellowship Scheme	Not Set	The Group of Eight Australia
  2015 China Scholarship Council Scheme	Not Set	China Scholarship Council

• Keywords
• classification; geometric algebra; multivectors; spectroscopy; Terahertz
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2016 IEEE
• Depositing User
• Dimitar Valchev