Zobrazeno 1 - 10
of 21
pro vyhledávání: '"I. V. Semushin"'
Autor:
Yulia Tsyganova, I. V. Semushin
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
This paper analyzes the problem of identifying state measurement toolkits or data transmit channels for highly realistic stochastic and uncertain environments in control systems or, correspondingly, communication systems. The latter can be exemplifie
Autor:
Julia V. Tsyganova, I. V. Semushin
Publikováno v:
Вестник Самарского государственного технического университета. Серия «Физико-математические науки». 23:724-743
Мультисенсорная система фильтрации характеризована математически как результат решения задачи синтеза многомерной дискретной систем
Publikováno v:
IFAC-PapersOnLine. 51:776-781
In this paper, we construct new array patterns of regulator re-optimization algorithms using the duality relations between the two Riccati Difference Equations (RDE), that are at the heart of Linear Quadratic Gaussian Estimator (LQG-E) on the one par
Publikováno v:
IFAC-PapersOnLine. 51:568-573
This paper addresses the problem of numerically efficient computations for the auxiliary performance index (API) based linear time-variant stochastic models optimization. The main result of the paper is the new algorithm for numerically efficient (i.
Publikováno v:
European Journal of Engineering Education. 43:446-472
Russian higher education institutions' tradition of teaching large-enrolled classes is impairing student striving for individual prominence, one-upmanship, and hopes for originality. Intend...
Publikováno v:
Procedia Engineering. 201:726-735
Channel estimation and prediction algorithms are developed for use in broadband OFDM data transmission over non-ideal channels. The scalar complex channel coefficients are described by Gauss-Markov AR models of a given order in state space form to mo
Publikováno v:
Bulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software". 10:108-119
Autor:
Yu. V. Tsyganova, I. V. Semushin
Publikováno v:
Journal of Physics: Conference Series. 1368:052028
At the time series analysis’s core is the fitting of a preselected model—in the most straightforward case a linear combination of basis functions—to experimental data with one of the performance indices, for example, least squares criterion. Ho
Autor:
Julia V. Tsyganova, I. V. Semushin
Publikováno v:
International Journal of Communications, Network and System Sciences. :513-518
This paper investigates the problem of seeking minimum of API (Auxiliary Performance Index) in parameters of Data Model instead of parameters of Adaptive Filter in order to avoid the phenomenon of over parameterization. This problem was stated by Sem
Publikováno v:
ECC
This paper addresses the problem of adaptive fitting of a stochastic model to what is known as Human Body Daily Temperature Dynamics (HBDTD). HBDTD belongs to the class of systems whose state processes are unobtainable for any practical use and can t