Characterizing scaling properties of complex signals with missed data segments using the multifractal analysis

Author:

Pavlov A. N.1,Pavlova O. N.2,Abdurashitov A. S.2,Sindeeva O. A.3,Semyachkina-Glushkovskaya O. V.3,Kurths J.45ORCID

Affiliation:

1. Yuri Gagarin State Technical University of Saratov, Politehnicheskaya Str. 77, 410054 Saratov, Russia

2. Department of Physics, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia

3. Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia

4. Potsdam Institute for Climate Impact Research, Telegraphenberg A 31, 14473 Potsdam, Germany

5. Institute of Physics, Humboldt University Berlin, 12489 Berlin, Germany

Funder

Russian Science Foundation

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

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1. Analysis of Complex Cooperative Dynamics Using Joint Singularity Spectrum;2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA);2023-09-18

2. Application of joint singularity spectrum to analyze cooperative dynamics of complex systems;Izvestiya VUZ. Applied Nonlinear Dynamics;2023

3. Scaling features of intermittent dynamics characterized from data sets;Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions;2020-04-09

4. Scaling features of intermittent dynamics: Differences of characterizing correlated and anti-correlated data sets;Physica A: Statistical Mechanics and its Applications;2019-12

5. The Influence of Switching between Chaotic Regimes on the Correlation Characteristics of Nonlinear Systems;Technical Physics Letters;2019-09

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