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On the Capacity Estimation of a Slotted Multiuser Communication Channel
P. 1–5.
In book
Dublin: IEEE, 2019.
Chepovskiy A., Chepovskiy A., Успехи кибернетики 2025 Т. 6 № 1 С. 55–61
In this paper, the authors study the problem of both assessing the quality of implicit community detection on a graph obtained by importing data from social networks and instant messengers, and methods for analyzing such networks to identify the information impact on its actors. Two approaches to assessing the correctness of dividing a graph into ...
Added: May 23, 2025
Leydesdorff L., Ivanova I., Journal of the Association for Information Science and Technology 2021 Vol. 72 No. 4 P. 387–402
Problem solving often requires crossing boundaries, such as those between disciplines. When policy‐makers call for “interdisciplinarity,” however, they often mean “synergy.” Synergy is generated when the whole offers more possibilities than the sum of its parts. An increase in the number of options above the sum of the options in subsets can be measured as ...
Added: October 30, 2020
Дыренков В. С., Шевель Н. М., Ivanov F. et al., Информационные процессы 2020 Т. 20 № 2 С. 133–141
In this paper, we consider a vector disjunctive channel in which users transmit some binary vectors of
length L. We estimate the capacity of this channel and derive a lower bound on this value. In addition, the
lower bound is calculated both for the case of the Bernoulli distribution and for an arbitrary distribution for
the case when ...
Added: October 6, 2020
Ivanov F., Rybin P., Afanassiev V. et al., , in: 2019 XVI International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY).: IEEE, 2019. P. 27–31.
Added: March 17, 2020
Ivanov F., Rybin P., , in: Proceedings of 2018 IEEE International Conference on Communications (ICC).: IEEE, 2018. P. 1–5.
We consider a signal-code construction for a special class of multiple access system over vector-disjunctive channel when users transmit some vector of bits of finite length L. This construction is based on interleaved Reed-Solomon codes with collaborative decoding. The considered methods of encoding and decoding in one hand have acceptable complexity for a wide range ...
Added: October 4, 2018
Frolov A., Rybin P., Ivanov F., , in: Proceedings of the 2016 XV International Symposium «Problems of Redundancy in Information and Control Systems.: Institute of Electrical and Electronics Engineers ( IEEE ), 2016. P. 48–52.
Non-orthogonal multiple access schemes are of great interest for next generation wireless systems, as such schemes allow to reduce the total number of resources (frequencies or time slots) in comparison to orthogonal transmission (TDMA, FDMA, CDMA). In this paper we consider an iterative LDPC-based joint decoding scheme suggested in [1]. We investigate the most difficult ...
Added: October 4, 2018
Kelbert M., Suhov Y., Stuhl I., Modern Stochastics: Theory and Applications 2017 Vol. 4 No. 3 P. 233–252
This paper represents an extended version of an earlier note [10]. The concept of
weighted entropy takes into account values of different outcomes, i.e., makes entropy contextdependent,
through the weight function. We analyse analogs of the Fisher information inequality
and entropy power inequality for the weighted entropy and discuss connections with
weighted Lieb’s splitting inequality. The concepts of rates ...
Added: October 10, 2017
Osipov D., , in: Proceedings of the 8th International Workshop, MACOM 2015, Helsinki, Finland, September 3-4, 2015,Vol. 9305.: Springer, 2015. P. 101–108.
In what follows an order-statistics based single user reception in a communication system operating under multiuser interference is considered. This paper deals with the problem of finding channel capacity of the channel corresponding to the system under consideration. ...
Added: August 28, 2015
Ossadtchi A., Journal of Neuroscience Methods 2012 Vol. 207 No. 1 P. 1–16
Connectivity measures are (typically bivariate) statistical measures that may be used to estimate interactions between brain regions from electrophysiological data. We review both formal and informal descriptions of a range of such measures, suitable for the analysis of human brain electrophysiological data, principally electro- and magnetoencephalography. Methods are described in the space–time,space–frequency, and space–time–frequency domains. ...
Added: October 23, 2014
Pronko P., Baillet S., Pflieger M. et al., Frontiers in Neuroinformatics 2014 Vol. 7
Spatial component analysis is often used to explore multidimensional time series data whose sources cannot be measured directly. Several methods may be used to decompose the data into a set of spatial components with temporal loadings. Component selection is of crucial importance, and should be supported by objective criteria. In some applications, the use of ...
Added: October 23, 2014
Holevo A.S., Physica Scripta 2013 Vol. T153 P. 014034
We study the relation between the unassisted and entanglement-assisted classical capacities $C,C_{ea}$ of entanglement-breaking channels. We argue that the gain of entanglement assistance $C_{ea}/C>1$ generically for measurement channels with \emph{unsharp} observables; in particular for the measurements with pure posterior states the information loss in the entanglement-assisted protocol is zero, resulting in arbitrarily large gain for ...
Added: February 27, 2014
A. S. Holevo, Berlin: De Gruyter, 2013.
The subject of this book is theory of quantum system presented from information science perspective. The central role is played by the concept of quantum channel and its entropic and information characteristics. Quantum information theory gives a key to understanding elusive phenomena of quantum world and provides a background for development of experimental techniques that ...
Added: February 27, 2014
Alexei Ossadtchi, Pronko P. K., Baillet S. et al., Frontiers in Neuroinformatics 2014 Vol. 7 No. January P. Article 53
Spatial component analysis is often used to explore multidimensional time series data whose sources cannot be measured directly. Several methods may be used to decompose the data into a set of spatial components with temporal loadings. Component selection is of crucial importance, and should be supported by objective criteria. In some applications, the use of ...
Added: January 29, 2014
Ossadtchi A., Pronko P. K., Baillet S. et al., Frontiers in Neuroinformatics 2014 Vol. 7 No. 53 P. 1–11
Spatial component analysis is often used to explore multidimensional time series data whose sources cannot be measured directly. Several methods may be used to decompose the data into a set of spatial components with temporal loadings. Component selection is of crucial importance, and should be supported by objective criteria. In some applications, the use of ...
Added: January 19, 2014
Osipov D., Frolov A., Zyablov V., , in: Lecture Notes in Computer ScienceVol. 8072: Wireless Access Flexibility. First International Workshop, WiFlex 2013, Kaliningrad, Russia, September 4-6, 2013. Proceedings.: Berlin, Heidelberg: Springer, 2013. P. 49–57.
We consider an uncoordinated multiple-access system that employs a modulation technique, in which the probability of suppressing the signal sent by a certain user can be considered negligible, to transmit information via a wireless channel (e.g. time hopping (TH) with pulse position modulation (PPM)).This channel can be considered as an A channel (channel without intensity ...
Added: November 17, 2013