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dc.contributor.authorChauhan, Sourabh S.-
dc.date.accessioned2024-12-04T05:10:36Z-
dc.date.available2024-12-04T05:10:36Z-
dc.date.issued2013-06-14-
dc.identifier.citationSarma, B., Chauhan, S. S., Wharton, A. M., & Iyengar, A. N. S. (2013). Continuous wavelet transform analysis for self-similarity properties of turbulence in magnetized DC glow discharge plasma. Journal of Plasma Physics, 79(5), 885–891.en_US
dc.identifier.urihttps://doi.org/10.1017/S0022377813000639-
dc.identifier.urihttp://idr.niser.ac.in:8080/jspui/handle/123456789/1080-
dc.description.abstractCharacterization of self-similarity properties of turbulence in magnetized plasma is being carried out in DC glow discharge plasma. The time series floating potential fluctuation experimental data are acquired from the plasma by Langmuir probe. Continuous wavelet transform (CWT) analysis considering db4 mother wavelet has been applied to the experimental data and self-similarity properties are detected by evaluating the Hurst exponent from the wavelet variance plotting. From the CWT spectrum, effort is made to extract a highly correlated frequency by locating the brightest spot. Accordingly, those signals are treated for finding out correlation dimension and the Liapunov exponent so that the exact frequency responsible for the chaotic behavior could be found out.en_US
dc.language.isoenen_US
dc.publisherJournal of Plasma Physicsen_US
dc.titleContinuous wavelet transform analysis for self-similarity properties of turbulence in magnetized DC glow discharge plasmaen_US
dc.typeArticleen_US
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