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A continuous-time recurrent neural networks for joint equalization and decoding-Analog hardware implementation aspects

Mostafa, Mohamad and Oliveri, Giuseppe and Teich, Werner and Lindner, Jürgen (2016) A continuous-time recurrent neural networks for joint equalization and decoding-Analog hardware implementation aspects. In: Artificial Neural Networks - Models and Applications InTech. ISBN 978-953-51-2704-8.

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Official URL: http://www.intechopen.com/books/artificial-neural-networks-models-and-applications


Item URL in elib:https://elib.dlr.de/104760/
Document Type:Contribution to a Collection
Title:A continuous-time recurrent neural networks for joint equalization and decoding-Analog hardware implementation aspects
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Mostafa, Mohamadmohamad.mostafa (at) dlr.deUNSPECIFIED
Oliveri, Giuseppegiuseppe.oliveri (at) uni-ulm.deUNSPECIFIED
Teich, Wernerwerner.teich (at) uni-ulm.deUNSPECIFIED
Lindner, Jürgenjuergen.lindner (at) uni-ulm.deUNSPECIFIED
Date:19 October 2016
Journal or Publication Title:Artificial Neural Networks - Models and Applications
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Publisher:InTech
ISBN:978-953-51-2704-8
Status:Published
Keywords:Recurrent neural networks, joint equalization and decoding
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Mostafa, Mohamad
Deposited On:07 Nov 2016 15:06
Last Modified:31 Jul 2019 20:02

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