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.

PDF
5MB

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:

Authors	Institution or Email of Authors	Author's ORCID iD
Mostafa, Mohamad	UNSPECIFIED	UNSPECIFIED
Oliveri, Giuseppe	UNSPECIFIED	UNSPECIFIED
Teich, Werner	UNSPECIFIED	UNSPECIFIED
Lindner, Jürgen	UNSPECIFIED	UNSPECIFIED

Date:

19 October 2016

Journal or Publication Title:

Artificial Neural Networks - Models and Applications

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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

Repository Staff Only: item control page