• DocumentCode
    3126511
  • Title

    Chromatic compression of sensor signals in the wavelength, time and parameter domains

  • Author

    Jones, G.R. ; Russell, P.C. ; Vourdas, A.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Liverpool Univ., UK
  • fYear
    1999
  • fDate
    36312
  • Firstpage
    42614
  • Lastpage
    42617
  • Abstract
    The use of chromatic methodology has been previously described for sensing various parameters with optical fibres via changes in the optical spectrum of the transmitted light due to modulation by a measurand. In this contribution we explain how the chromatic method is a truncated form of Gabor transforms. As such the approach may be advantageously applied more generally than in the optical wavelength domain for the extraction of information about complex systems when economies of cost and effort are paramount. An example of the chromatic approach in the optical domain is given before demonstrating its applicability to the time rather than wavelength domain. It is then shown how the outputs from a group of different sensors may be represented by points in chromatic space which are compressible in the limit to a single representative point with total traceability back to individual sensor elements. An alternative chromatic approach for combining the outputs of a multitude of sensors in a weighted manner is described whereby up to 40 sensor outputs have been compressed
  • Keywords
    signal representation; Gabor transforms; Gaussian functions; chromatic compression; chromatic modulation; individual sensor elements; optical domain; parameter domain; points in chromatic space; sensor signals; single representative point; time domain; traceability; tristimulus system; truncated form; wavelength domain;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Intelligent and Self-Validating Sensors (Ref. No. 1999/160), IEE Colloquium on
  • Conference_Location
    Oxford
  • Type

    conf

  • DOI
    10.1049/ic:19990769
  • Filename
    790272