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Pavlov Aleksei Nikolaevich

Publications in Math-Net.Ru

  1. Studying electrical activity of the brain within the concept of coordination of rhythmic processes

    Izvestiya VUZ. Applied Nonlinear Dynamics, 32:4 (2024),  511–520
  2. Extended method of cross-correlation analysis of non-stationary processes

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 50:10 (2024),  40–42
  3. Application of joint singularity spectrum to analyze cooperative dynamics of complex systems

    Izvestiya VUZ. Applied Nonlinear Dynamics, 31:3 (2023),  305–315
  4. Analysis of the cooperative dynamics of nonlinear systems based on joint singularity spectrum

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 49:10 (2023),  6–8
  5. Diagnostics of changes in the dynamics of complex systems from transient processes based on multiresolution wavelet analysis

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 49:2 (2023),  7–9
  6. Fluctuation analysis of the dynamics of systems with time-varying characteristics

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 47:9 (2021),  52–54
  7. Multiscale analysis of rhythmic processes with time-varying characteristics

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 46:18 (2020),  7–9
  8. A modified fluctuation analysis of nonstationary processes

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 46:6 (2020),  47–50
  9. The influence of switching between chaotic regimes on the correlation characteristics of nonlinear systems

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 45:18 (2019),  6–8
  10. Use of wavelets for recognizing types of motion by means of data on the electrical activity of the brain

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 45:16 (2019),  24–26
  11. Recognizing arm motions by fluctuation analysis of EEG signals

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 45:4 (2019),  8–10
  12. A method for increasing the accuracy in calculating the characteristics of complex dynamics of threshold systems

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:15 (2018),  65–70
  13. The influence of data loss on diagnostics of complex system dynamics

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:14 (2018),  80–85
  14. Computing spectral characteristics from short signals and nonstationary processes

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:2 (2018),  3–10
  15. Analysis of chaotic dynamic regimes using series of interburst intervals

    Zhurnal Tekhnicheskoi Fiziki, 87:11 (2017),  1753–1755
  16. Noisy signal filtration using complex wavelet basis sets

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 43:14 (2017),  10–18
  17. Estimating the predictability time of noisy chaotic dynamics from point sequences

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 43:2 (2017),  45–51
  18. Speech signal filtration using double-density dual-tree complex wavelet transform

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 42:16 (2016),  72–78
  19. Wavelet filtration of noisy images

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 42:2 (2016),  50–56
  20. Largest Lyapunov exponent of chaotic oscillatory regimes computing from point processes in the noise presence

    Izvestiya VUZ. Applied Nonlinear Dynamics, 23:6 (2015),  31–39
  21. Noise-induced loss of multifractality in dynamics of systems with self-sustained oscillations

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 41:22 (2015),  89–94
  22. Errors of analysis of parameters of complex oscillation regimes using point sequences of the integrate-and-fire model

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 41:21 (2015),  74–79
  23. Control for statistical characteristics of chaotic oscillation regimes by noise exposure

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 41:15 (2015),  105–110
  24. Digital audio signal filtration based on the dual-tree wavelet transform

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 41:14 (2015),  33–38
  25. Diagnostics of the regime of hyperchaotic dynamics from sequences of threshold-crossing time intervals

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 41:6 (2015),  98–104
  26. Adaptive wavelet analysis of optical coherent tomography data: Application in problems of diagnostics

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 39:19 (2013),  86–94
  27. A method for protecting communicated information using neural-network detection

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 39:18 (2013),  61–69
  28. Wavelet analysis in neurodynamics

    UFN, 182:9 (2012),  905–939
  29. Synchronous dynamics of nephrons ensembles

    Izv. Sarat. Univ. Physics, 11:1 (2011),  3–10
  30. Identification of action potentials of small neuron ensembles using wavelet-analysis and neural networks method

    Izv. Sarat. Univ. Physics, 9:2 (2009),  57–65
  31. Multifractal analysis of signals based on wavelet-transform

    Izv. Sarat. Univ. Physics, 7:1 (2007),  3–25
  32. Multifractal analysis of complex signals

    UFN, 177:8 (2007),  859–876


© Steklov Math. Inst. of RAS, 2026