Data Analysis pp 273-284 | Cite as

Intelligent Data Modeling Based on the Wavelet Transform and Data Entropy

  • Fionn Murtagh
  • Jean-Luc Starck
  • Norman McMillan
  • Jonathan G. Campbell
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


Using a small dataset resulting from a new optical engineering technique for the fingerprinting of beverages and other liquids, we develop and study an approach to quantitatively characterizing the inherent information in our data. To do this we use properties of the data which are related to resolution scale and noise. We demonstrate the effectiveness of such intelligent data modeling.


Wavelet Coefficient Principal Plane Resolution Scale Wavelet Scale Viscosity Property 
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Copyright information

© Springer-Verlag Berlin · Heidelberg 2000

Authors and Affiliations

  • Fionn Murtagh
    • 1
  • Jean-Luc Starck
    • 2
    • 4
  • Norman McMillan
    • 3
  • Jonathan G. Campbell
    • 1
  1. 1.School of Computer ScienceThe Queen’s University of BelfastBelfastNorthern Ireland
  2. 2.Statistics DepartmentStanford UniversityStanfordUSA
  3. 3.Institute of Technology CarlowCarlowIreland
  4. 4.DAPNIA/SEI-SAP, CEA/SaclayGif sur YvetteFrance

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