Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mikhail Tsaryov"'
Publikováno v:
2021 International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bec770554f86a894abf7494c3143c62
https://doi.org/10.1109/itnt52450.2021.9649334
https://doi.org/10.1109/itnt52450.2021.9649334
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
A comparative analysis of efficiency of different target functions for stochastic algorithms in estimating time shift between unfiltered radio pulses received on spatially spaced receivers is carried out. As target functions, we investigated measures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::265b4be1ae4433614b7e3ecadf0d148a
https://doi.org/10.1109/itnt49337.2020.9253261
https://doi.org/10.1109/itnt49337.2020.9253261
Autor:
A. G. Tashlinskii, Mikhail Tsaryov
Publikováno v:
Procedia Engineering. 201:296-301
Two recursive algorithms for detection of radio pulses in unfiltered signals received by spatially distributed sensors, such as antenna array elements, are proposed. The algorithms are based on the stochastic gradient ascent algorithm estimating the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d99aff8a3c2806b9c10368fc86ab4efc
https://doi.org/10.1016/j.proeng.2017.09.637
https://doi.org/10.1016/j.proeng.2017.09.637
Publikováno v:
Proceedings of the V International conference Information Technology and Nanotechnology 2019.
The paper is devoted to the analysis of the possibilities of using Markov chains for analyzing the accuracy of stochastic gradient relay estimation of image geometric deformations. One of the ways to reduce computational costs is to discretize the do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b5f6852891c363705c082a3cdef9824
https://doi.org/10.18287/1613-0073-2019-2391-103-108
https://doi.org/10.18287/1613-0073-2019-2391-103-108
The paper considers the effectiveness of motion estimation in video using pixel-by-pixel recurrent algorithms. The algorithms use stochastic gradient decent to find inter-frame shifts of all pixels of a frame. These vectors form shift vectors’ fiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c60ec8ae661e6cc4a1a5048a8e020189
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W4/61/2017/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W4/61/2017/
Publikováno v:
Collection of selected papers of the IV International Conference on Information Technology and Nanotechnology.
At stochastic gradient estimation of image parameters the estimates convergence character and computational expenses essentially depend on image samples local sample size used for obtaining the stochastic gradient. In the paper the possibility of a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d849fd0f589b7c70e21e448c52a60084
https://doi.org/10.18287/1613-0073-2018-2210-424-428
https://doi.org/10.18287/1613-0073-2018-2210-424-428