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TCM decoding using neural networks

Authors :
Kaminsky, Edit J.
Deshpande, Nikhil
Source :
Engineering Applications of Artificial Intelligence. Aug2003, Vol. 16 Issue 5/6, p473. 17p.
Publication Year :
2003

Abstract

This paper presents a neural decoder for trellis coded modulation (TCM) schemes. Decoding is performed with Radial Basis Function Networks and Multi-Layer Perceptrons. The neural decoder effectively implements an adaptive Viterbi algorithm for TCM which learns communication channel imperfections. The implementation and performance of the neural decoder for trellis encoded 16-QAM with amplitude imbalance are analyzed. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09521976
Volume :
16
Issue :
5/6
Database :
Academic Search Index
Journal :
Engineering Applications of Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
11173423
Full Text :
https://doi.org/10.1016/S0952-1976(03)00066-6