Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Ghosheh Abed Hodtani"'
Publikováno v:
Computer and Knowledge Engineering, Vol 7, Iss 1, Pp 9-16 (2024)
Wireless communication systems demand efficient solutions, and non-orthogonal multiple access (NOMA) has emerged as a promising approach. The present investigation compares NOMA against orthogonal multiple access (OMA) methods, specifically focusing
Externí odkaz:
https://doaj.org/article/6373f74b5c1045dbb1852cfad3bd33c5
Publikováno v:
IET Communications, Vol 17, Iss 19, Pp 2178-2187 (2023)
Abstract In a nervous system propagation of spikes among neurons can be interpreted as an information transmission process, where, a neural response carries information about the stimulus. Quantification of this information might be of theoretical an
Externí odkaz:
https://doaj.org/article/610bc780e4954ccbbd569edab55375a9
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
Hierarchical Temporal Memory (HTM) is an unsupervised algorithm in machine learning. It models several fundamental neocortical computational principles. Spatial Pooler (SP) is one of the main components of the HTM, which continuously encodes streams
Externí odkaz:
https://doaj.org/article/9b5fb8a2728f4e1d8b3425e8f9fe78b9
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-18 (2022)
Abstract Outsourcing data on cloud storage services has already attracted great attention due to the prospect of rapid data growth and storing efficiencies for customers. The coding-based cloud storage approach can offer a more reliable and faster so
Externí odkaz:
https://doaj.org/article/fb0a399bd8734837a25f580f163825f2
Publikováno v:
IET Communications, Vol 15, Iss 4, Pp 497-512 (2021)
Abstract Two‐user multiple‐access relay channel (MARC) with side information (SI) non‐causally known at one encoder is studied, where transmitters send a common message with rate R0, and private messages with rates R1 and R2; and derive a gener
Externí odkaz:
https://doaj.org/article/4a01dfe326b746aab9ca95c150810563
Publikováno v:
IEEE Access, Vol 6, Pp 5856-5864 (2018)
The past decade has seen a rapid application of information theoretic learning (ITL) criteria in robust signal processing and machine learning problems. Generally, in ITL's literature, it is seen that, under non-Gaussian assumptions, especially when
Externí odkaz:
https://doaj.org/article/ff2df474e3d641948e643bac8a543876
Publikováno v:
IEEE Access, Vol 6, Pp 45834-45845 (2018)
Feedback analysis on the rate region of multi-user channels is a problem of great importance in information and communication theory. In this paper, the Slepian-Wolf multiple access relay channel (SW-MARC) with relay-sources feedback is studied as a
Externí odkaz:
https://doaj.org/article/662cd39c96364899b72df781dfc18b4c
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 6, Iss 2, Pp 1-9 (2014)
The capacity region of a two-user linear Gaussian compound Multiple Access Channel with common message (CMACC) and intersymbol interference (ISI) under an input power constraint is derived. To obtain the capacity region we first convert the channel t
Externí odkaz:
https://doaj.org/article/b19bd58006fb4017953f23b7192bf1d5
Autor:
Farid Samsami Khodadad, Ghosheh Abed Hodtani, S. Bagher Hosseini Karani, Hossein Khoshbin Ghasem
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 3, Iss 3, Pp 55-62 (2011)
In this paper, a new method for estimating the direction of arrival of Asynchronous DS-CDMA signals in multipath fading channel is proposed. In the proposed method, first, for removing the effects of undesired paths, we project the coherent signals o
Externí odkaz:
https://doaj.org/article/cb80011b1bbc435cb4d46b45140bc9f8
Publikováno v:
International Journal of Wireless & Mobile Networks. 14:1-16
In this paper, we study signal detection in multi-input-multi output (MIMO) communications system with non-Gaussian noises such as Middleton Class A noise, Gaussian mixtures and alpha stable distributions, using several deep neural network-based dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e7bb1487621bdd76d6387f69d1e4567
https://doi.org/10.5121/ijwmn.2022.14501
https://doi.org/10.5121/ijwmn.2022.14501