Yakovleva Tat'yana Viktorovna

Publications in Math-Net.Ru

1. Statistical distribution of the quasi-harmonic signal’s phase: basics of theory and computer simulation
   
   Computer Research and Modeling, 16:2 (2024),  287–297
2. 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
3. Features of the statistical distribution of a quasi-harmonic signal phase
   
   Dokl. RAN. Math. Inf. Proc. Upr., 497 (2021),  35–37
4. 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
5. Determination of CT dose by means of noise analysis
   
   Computer Research and Modeling, 10:4 (2018),  525–533
6. 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
7. Determining the phase shift of quasiharmonic signals through envelope analysis
   
   Computer Optics, 41:6 (2017),  950–956
8. 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
9. 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
10. 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
11. Review of MRI processing techniques and elaboration of a new two-parametric method of moments
    
    Computer Research and Modeling, 6:2 (2014),  231–244
12. 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
13. Mathematical statistics methods as a tool of two-parametric magnetic-resonance image analysis
    
    Inform. Primen., 8:3 (2014),  79–89
14. 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