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

D. Hunter; V. Karanassios

doi:10.1117/12.887211

3 June 2011 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

D. Hunter, V. Karanassios

Author Affiliations +

Proceedings Volume 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX; 80580A (2011) https://doi.org/10.1117/12.887211
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

D. Hunter and V. Karanassios "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", Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 80580A (3 June 2011); https://doi.org/10.1117/12.887211

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