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2019 | OriginalPaper | Buchkapitel

Wavelet Based Fractal Analysis of Solar Wind Speed Signal

verfasst von : Tushnik Sarkar, Mofazzal H. Khondekar, Subrata Banerjee

Erschienen in: Recent Trends in Signal and Image Processing

Verlag: Springer Singapore

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Abstract

In the present work, the Solar Wind Speed (SWS) time series has been considered for study. Here, the intention of the authors is to investigate the presence of multifractality within the signal. Continuous wavelet transforms modulus maxima method has been employed in this purpose. The span of the time series of SWS, which is under consideration, is of 2492 days from 01/01/1997 to 28/10/2003. Finally, the Singularity spectrum is drawn to qualitatively evaluate the level of multifractality present within the SWS signal.

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Literatur
1.
Zurück zum Zitat Mandelbrot BB (1982) The fractal geometry of nature. Freeman, San FranciscoMATH Mandelbrot BB (1982) The fractal geometry of nature. Freeman, San FranciscoMATH
3.
Zurück zum Zitat Valsamma KM (2013) Multifractal analysis of annual run-off: using WTMM method. Int J Eng Sci Innov Technol (IJESIT) 2(1):139–145 Valsamma KM (2013) Multifractal analysis of annual run-off: using WTMM method. Int J Eng Sci Innov Technol (IJESIT) 2(1):139–145
4.
Zurück zum Zitat Hossain KM, Ghosh DN, Ghosh K (2009) Investigating multifractality of solar irradiance data through wavelet based multifractal spectral analysis. Signal Process Int J (SPIJ) 3(4):84–94 Hossain KM, Ghosh DN, Ghosh K (2009) Investigating multifractality of solar irradiance data through wavelet based multifractal spectral analysis. Signal Process Int J (SPIJ) 3(4):84–94
5.
Zurück zum Zitat Mallat S (1998) A wavelet tour of signal processing. Academic Press, New YorkMATH Mallat S (1998) A wavelet tour of signal processing. Academic Press, New YorkMATH
6.
Zurück zum Zitat Sarkar T, Hossain KM, Banerjee S (2017) Signal processing approach to study multifractality and singularity of solar wind speed time serie. WASET, Int J Comput Electric Autom Control Inf Eng 11(2):97–102 Sarkar T, Hossain KM, Banerjee S (2017) Signal processing approach to study multifractality and singularity of solar wind speed time serie. WASET, Int J Comput Electric Autom Control Inf Eng 11(2):97–102
7.
Zurück zum Zitat Gospodinova E, Gospodinov M (2014) Wavelet-based multifractal analysis of RR time series. Int J Adv Res Comput Sci Softw Eng 4(4):1067–1071 Gospodinova E, Gospodinov M (2014) Wavelet-based multifractal analysis of RR time series. Int J Adv Res Comput Sci Softw Eng 4(4):1067–1071
8.
Zurück zum Zitat Bogdan E, Kiyoshi I, Zbigniew RS (2004) Wavelet-based multifractal analysis of real and simulated time series of earthquakes. Geophys J Int 164(6):63–74 Bogdan E, Kiyoshi I, Zbigniew RS (2004) Wavelet-based multifractal analysis of real and simulated time series of earthquakes. Geophys J Int 164(6):63–74
9.
Zurück zum Zitat Hossain KM, Ghosh DN, Ghosh K, Bhattacharya AK (2011) Multifractality and singularity of 8B solar neutrino flux signals from sudbury neutrino observatory. IET Signal Proc 5(7):690–700CrossRef Hossain KM, Ghosh DN, Ghosh K, Bhattacharya AK (2011) Multifractality and singularity of 8B solar neutrino flux signals from sudbury neutrino observatory. IET Signal Proc 5(7):690–700CrossRef
10.
Zurück zum Zitat Cheng J, Chen D, Landry Jr R, Zhao L, Guan D (2014) Research on wavelet singularity detection based fault-tolerant federated filtering algorithm for INS/GPS/DVL integrated navigation system. J Appl Math 2014:1–8 Cheng J, Chen D, Landry Jr R, Zhao L, Guan D (2014) Research on wavelet singularity detection based fault-tolerant federated filtering algorithm for INS/GPS/DVL integrated navigation system. J Appl Math 2014:1–8
11.
Zurück zum Zitat Mallat S, Hwang W (1992) Singularity detection and processing with wavelets. IEEE Trans Info Theory 38:617–643MathSciNetCrossRef Mallat S, Hwang W (1992) Singularity detection and processing with wavelets. IEEE Trans Info Theory 38:617–643MathSciNetCrossRef
12.
Zurück zum Zitat Mallat S, Zhong S (1992) Characterization of signals from multiscale edges. IEEE Trans Patt Recog Mach Intell 14:710–732CrossRef Mallat S, Zhong S (1992) Characterization of signals from multiscale edges. IEEE Trans Patt Recog Mach Intell 14:710–732CrossRef
13.
Zurück zum Zitat Mathuvanesan C, Jayasankar T (2013) Performance analysis of singularity and irregular detection in human health monitoring using Lipschitz exponent function. Int J Eng Res Technol 2(6):414–418 Mathuvanesan C, Jayasankar T (2013) Performance analysis of singularity and irregular detection in human health monitoring using Lipschitz exponent function. Int J Eng Res Technol 2(6):414–418
14.
Zurück zum Zitat Sarkar T, Ray R, Khondekar MH, Ghosh K, Banerjee S (2015) Chaos and periodicity in solar wind speed: cycle 23. Astrophys Space Sci 357(2):1–10 Sarkar T, Ray R, Khondekar MH, Ghosh K, Banerjee S (2015) Chaos and periodicity in solar wind speed: cycle 23. Astrophys Space Sci 357(2):1–10
Metadaten
Titel
Wavelet Based Fractal Analysis of Solar Wind Speed Signal
verfasst von
Tushnik Sarkar
Mofazzal H. Khondekar
Subrata Banerjee
Copyright-Jahr
2019
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-8863-6_5

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