| Full text | |
| Author(s): |
Paiva, H. M.
;
Duarte, M. A. Q.
;
Galvao, R. K. H.
;
Hadjiloucas, S.
;
IOP
Total Authors: 5
|
| Document type: | Journal article |
| Source: | WAKE CONFERENCE 2021; v. 472, p. 6-pg., 2013-01-01. |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 11/13777-8 - Time domain terahertz spectroscopy: development of analytical methods, signal processing techniques, biochemical and fundamental studies |
| Grantee: | Celio Pasquini |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 11/17610-0 - Monitoring and control of dynamic systems subject to faults |
| Grantee: | Roberto Kawakami Harrop Galvão |
| Support Opportunities: | Research Projects - Thematic Grants |