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ORCIDAlexander Parshin
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Conference and Workshop Papers
- 2024
[c11]Alexander Parshin, Maxim Grachev:
Capacity Estimation for a MIMO Communication Channel in Presence of Noise Complex. MECO 2024: 1-4- 2023
- [c10]Yury Parshin, Alexander Parshin, Maxim Grachev:
Efficiency of Information Transfer in the System of Interacting IoT Objects with Optimal Spatial Structure. MECO 2023: 1-4 - 2022
- [c9]Alexander Parshin, Yuri Parshin:
Development of Digital Algorithm for Flicker Noise Adaptive Non-Linear Filtering. MECO 2022: 1-4 - 2021
- [c8]Alexander Parshin, Yuri Parshin:
Adaptive Filtering of non-Gaussian Flicker Noise in Discrete Time Systems. MECO 2021: 1-4 - 2020
- [c7]Alexander Parshin, Yuri Parshin:
Adaptive Filtering of Non-Gaussian Flicker Noise. MECO 2020: 1-5 - 2019
- [c6]Alexander Parshin, Yuri Parshin:
Investigation of Efficient Receiving of Ultra Low Power Signal for IoT Application. MECO 2019: 1-4 - 2017
- [c5]Alexander Parshin, Yury Parshin:
Correlation dimension estimation of 2D fractal images based on optimal scanning path. MECO 2017: 1-4 - 2016
- [c4]Alexander Parshin, Yuri Parshin:
Analysis of maximum likelihood estimation of fractal dimension by independent and dependent samples. MECO 2016: 172-175 - 2015
- [c3]Alexander Parshin, Yuri Parshin:
Optimal detection of fractal signals and objects based on fractional Brownian models. MECO 2015: 163-167 - 2014
- [c2]Alexander Parshin, Yuri Parshin:
Optimal detection of 2D fractal object based on model of fractal Brownian surface. MECO 2014: 128-130 - 2013
- [c1]Alexander Parshin, Yury Parshin:
Synthesis and analysis of afficiency of algorithm for objects edges detection by maximum likelihood method. MECO 2013: 223-226
Coauthor Index
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