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Proceedings Paper

Application of wavelet transforms in de-noising optical emission transient signals generated from microsamples introduced into a microplasma and comparison with Fourier- and Hartley-transforms
Author(s): D. Hunter; V. Karanassios
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Paper Abstract

The application of wavelet transforms in de-noising optical emission transient, time-domain signals generated from microsamples introduced into an atmospheric-pressure microplasma-on-a-chip is described. The wavelet method of denoising transient signals is compared with traditional noise-filtering methods such as Fast Fourier Transform (FFT) and Fast Hartley Transform (FHT) signal processing. For the transient signals of interest to this work, the wavelet method proved to be superior to both the FFT and the FHT.

Paper Details

Date Published: 3 June 2011
PDF: 7 pages
Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 80580A (3 June 2011); doi: 10.1117/12.887211
Show Author Affiliations
D. Hunter, Univ. of Waterloo (Canada)
V. Karanassios, Univ. of Waterloo (Canada)


Published in SPIE Proceedings Vol. 8058:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX
Harold Szu, Editor(s)

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