Characterization of ionospheric total electron content data using wavelet-based multifractal formalism

DOI10.1016/J.CHAOS.2020.109653zbMath1483.86005OpenAlexW3007313404MaRDI QIDQ2120455

Shivam Bhardwaj, E. Chandrasekhar, Gopi K. Seemala, Vikram M. Gadre

Publication date: 31 March 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2020.109653

zbMATH Keywords

multifractal analysisionospheric TECmagnitude cumulants of wavelet transformP-model of multiplicative cascades

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Meteorology and atmospheric physics (86A10)

Related Items (1)

Statistical analysis of DWT coefficients of fGn processes using ARFIMA(p,d,q) models

Uses Software

• Multifractal

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multifractal detrended fluctuation analysis of nonstationary time series
• Wavelet leaders and bootstrap for multifractal analysis of images
• ESTIMATORS FOR LONG-RANGE DEPENDENCE: AN EMPIRICAL STUDY
• Analysis of Singularities From Modulus Maxima of Complex Wavelets
• Fractal measures and their singularities: The characterization of strange sets
• Singularity detection and processing with wavelets
• Ten Lectures on Wavelets
• THE MULTIFRACTAL FORMALISM REVISITED WITH WAVELETS
• Multifractal Formalism for Functions Part I: Results Valid For All Functions
• Multifractal Formalism for Functions Part II: Self-Similar Functions
• A wavelet-based joint estimator of the parameters of long-range dependence
• A multifractal wavelet model with application to network traffic
• Detecting long-range correlations with detrended fluctuation analysis

This page was built for publication: Characterization of ionospheric total electron content data using wavelet-based multifractal formalism