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Wavelet based detection of changes in the composition of RLC networks

Paiva, H. M., Duarte, M. A. Q., Galvao, R. K. H. and Hadjiloucas, S. (2013) Wavelet based detection of changes in the composition of RLC networks. Journal of Physics: Conference Series, 472. 012011. ISSN 1742-6588

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To link to this item DOI: 10.1088/1742-6596/472/1/012011

Abstract/Summary

The current work discusses the compositional analysis of spectra that may be related to amorphous materials that lack discernible Lorentzian, Debye or Drude responses. We propose to model such response using a 3-dimensional random RLC network using a descriptor formulation which is converted into an input-output transfer function representation. A wavelet identification study of these networks is performed to infer the composition of the networks. It was concluded that wavelet filter banks enable a parsimonious representation of the dynamics in excited randomly connected RLC networks. Furthermore, chemometric classification using the proposed technique enables the discrimination of dielectric samples with different composition. The methodology is promising for the classification of amorphous dielectrics.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:37998
Publisher:Institute of Physics

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