Blind coding classification in the presence of interference in MIMO systems using ML algorithm-Reference-Cited by-同舟云学术

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Blind coding classification in the presence of interference in MIMO systems using ML algorithm

Published:2019-04-26 Issue:10 Volume:32 Page:e3901
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Al-Makhlasawy Rasha M.¹^ORCID,Hefnawy Alaa A.¹,Abd Elnaby Mustafa M.²,Abd El-Samie Fathi E.³

Affiliation:

1. Department of computers and Systems; Electronics Research Institute; Giza Egypt

2. Faculty of Engineering; Tanta University; Tanta Egypt

3. Department of Electronics and Electrical Communications, Faculty of Electronic Engineering; Menoufia University; Menouf Egypt

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/dac.3901/fullpdf

Reference21 articles.

1. Detection of signals by information theoretic criteria;Wax;IEEE Trans Acoust Speech Signal Process,1985

2. A comparative study on source number detection;Aouada;Proc IEEE Inf Sci Signal Process Appl,2003

3. Blind source separation and signal classification;Swami;Proc. Asilomar Conf Signals Syst Comput,2000

4. Blind and semi-blind equalization for generalized space-time block codes;Swindlehurst;IEEE Trans Signal Process,Oct. 2002

5. Fourth-order statistics for blind classification of spatial multiplexing and alamouti space-time block code signals communications;Eldemerdash;IEEE Trans,2013

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