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Yakovleva Tat'yana Viktorovna

Publications in Math-Net.Ru

  1. Statistical analysis of the quasi-harmonic signal’s phase by method of moments as a tool of signal’s parameters estimation

    Computer Research and Modeling, 17:6 (2025),  1037–1049
  2. Statistical distribution of the quasi-harmonic signal’s phase: basics of theory and computer simulation

    Computer Research and Modeling, 16:2 (2024),  287–297
  3. Estimation of the size of structural formations in ultrasound imaging through statistical analysis of the echo signal

    Dokl. RAN. Math. Inf. Proc. Upr., 509 (2023),  87–93
  4. Wave front reconstruction based on the photometric and interference measurements

    Optics and Spectroscopy, 131:2 (2023),  280–286
  5. Features of the statistical distribution of a quasi-harmonic signal phase

    Dokl. RAN. Math. Inf. Proc. Upr., 497 (2021),  35–37
  6. Stable character of the rice statistical distribution: the theory and application in the tasks of the signals' phase shift measuring

    Computer Research and Modeling, 12:3 (2020),  475–485
  7. Determination of CT dose by means of noise analysis

    Computer Research and Modeling, 10:4 (2018),  525–533
  8. Signal and noise calculation at Rician data analysis by means of combining maximum likelihood technique and method of moments

    Computer Research and Modeling, 10:4 (2018),  511–523
  9. Determining the phase shift of quasiharmonic signals through envelope analysis

    Computer Optics, 41:6 (2017),  950–956
  10. Signal and noise parameters’ determination at rician data analysis by method of moments of lower odd orders

    Computer Research and Modeling, 9:5 (2017),  717–728
  11. Theoretical substantiation of the mathematical techniques for joint signal and noise estimation at rician data analysis

    Computer Research and Modeling, 8:3 (2016),  445–473
  12. Analytical solution and computer simulation of the task of rician distribution’s parameters in limiting cases of large and small values of signal-to-noise ratio

    Computer Research and Modeling, 7:2 (2015),  227–242
  13. Review of MRI processing techniques and elaboration of a new two-parametric method of moments

    Computer Research and Modeling, 6:2 (2014),  231–244
  14. Conditions of Rice statistical model applicability and estimation of the Rician signal's parameters by maximum likelihood technique

    Computer Research and Modeling, 6:1 (2014),  13–25
  15. Mathematical statistics methods as a tool of two-parametric magnetic-resonance image analysis

    Inform. Primen., 8:3 (2014),  79–89
  16. Two-parametric analysis of magnetic-resonance images by the maximum likelihood technique in comparison with the one-parametric approximation

    Sistemy i Sredstva Inform., 24:3 (2014),  92–109


© Steklov Math. Inst. of RAS, 2026