Samir Saidani, Abd Elkrim Moussaoui, Mohamed Ghadjati, "A New Training Strategy for DFE-MLP Using Modified BP Algorithm and Application to Channel Equalization," WSEAS Transactions on Signal Processing, vol. 13, pp. 115-120, 2017, DOI:
Samir Saidani, Abd Elkrim Moussaoui, Mohamed Ghadjati. A New Training Strategy for DFE-MLP Using Modified BP Algorithm and Application to Channel Equalization.
WSEAS Transactions on Signal Processing. 2017;13:115-120.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 13, 2017
A New Training Strategy for DFE-MLP Using Modified BP Algorithm and Application to Channel Equalization
Authors: , ,
Abstract: In this work, a new training strategy using a new modified back-propagation (BP) algorithm for a multilayer perceptron (MLP) based upon the previously introduced in [8], [9] is proposed. Its performance is investigated and compared to those of MLP-DFE based on the standard BP algorithm and the previously introduced in [8], [9]. The results show improved performance obtained by the new structure in nonlinear channels.
Keywords:
Multi layer perceptron (MLP), Decision feedback equalizer (DFE), Back-propagation (BP), Channel Equalization, Digital Communication.
Pages: 115-120 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 13, 2017, Art. #13 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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