Pattern Formation and Recognition Using T-Rays

  • Xiaoxia Yin
  • Brian W.-H. Ng
  • Derek Abbott
Chapter
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Abstract

Pattern formation using terahertz radiation can be defined as the generation of a quantitative or structural description of an object, especially an optically opaque object, via T-rays. It follows that a pattern class can be defined as a set of patterns that share some properties in common. As common pattern properties belong to the same class, it enables us to build different models for discrimination. Pattern recognition is the process of categorizing any sample of measured or observed data as a member of a candidate class, several of which may be allowed in each particular problem. For pattern recognition, applications tend to be specific and thus require specialized techniques. Here, sample responses from multiple terahertz experiments are used to illustrate pattern recognition case studies.

Keywords

Target Object Terahertz Radiation Signal Processing Technique Pattern Recognition System Opaque Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Xiaoxia Yin
    • 1
  • Brian W.-H. Ng
    • 1
  • Derek Abbott
    • 1
  1. 1.School of Electrical and Electronic EngineeringUniversity of AdelaideAdelaideAustralia

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