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Giri BK, Mitra C, Panigrahi PK, et al. Multi-scale dynamics of glow discharge plasma through wavelets: self-similar behavior to neutral turbulence and dissipation. Chaos. 2014;24(4):043135doi: 10.1063/1.4903332.
Giri, B. K., Mitra, C., Panigrahi, P. K., & Iyengar, A. N. (2014). Multi-scale dynamics of glow discharge plasma through wavelets: self-similar behavior to neutral turbulence and dissipation. Chaos (Woodbury, N.Y.), 24(4), 043135. https://doi.org/10.1063/1.4903332
Giri, Bapun K, et al. "Multi-scale dynamics of glow discharge plasma through wavelets: self-similar behavior to neutral turbulence and dissipation." Chaos (Woodbury, N.Y.) vol. 24,4 (2014): 043135. doi: https://doi.org/10.1063/1.4903332
Giri BK, Mitra C, Panigrahi PK, Iyengar AN. Multi-scale dynamics of glow discharge plasma through wavelets: self-similar behavior to neutral turbulence and dissipation. Chaos. 2014 Dec;24(4):043135. doi: 10.1063/1.4903332. PMID: 25554055.
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Chaos. 2014 Dec;24(4):043135. doi: 10.1063/1.4903332.

Multi-scale dynamics of glow discharge plasma through wavelets: self-similar behavior to neutral turbulence and dissipation.

Chaos (Woodbury, N.Y.)

Bapun K Giri, Chiranjit Mitra, Prasanta K Panigrahi, A N Sekar Iyengar

Affiliations

  1. Department of Physical Sciences, Indian Institute of Science Education and Research (IISER), Kolkata, Mohanpur 741246, India.
  2. Plasma Physics Division, Saha Institute of Nuclear Physics (SINP) Kolkata, 1/AF, Bidhannagar, Kolkata 700064, India.

PMID: 25554055 DOI: 10.1063/1.4903332

Abstract

The multiscale dynamics of glow discharge plasma is analysed through wavelet transform, whose scale dependent variable window size aptly captures both transients and non-stationary periodic behavior. The optimal time-frequency localization ability of the continuous Morlet wavelet is found to identify the scale dependent periodic modulations efficiently, as also the emergence of neutral turbulence and dissipation, whereas the discrete Daubechies basis set has been used for detrending the temporal behavior to reveal the multi-fractality of the underlying dynamics. The scaling exponents and the Hurst exponent have been estimated through wavelet based detrended fluctuation analysis, and also Fourier methods and rescale range analysis.

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