DocumentCode :
2707537
Title :
Joint source/channel coding modulation based on BP neural networks
Author :
Rongwei, Li ; Lenan, Wu ; Dongliang, Guo
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume :
1
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
156
Abstract :
A new JSCCM scheme based on multi-layer feed-forward network is proposed. The coding and modulation of traditional system is replaced by a neural network. At the receive end, a network maps the deteriorated modulation signals to reconstructed signals, the demodulation and decoding of the traditional system is replaced. Simulation results show that the performance of the neural networks is superior to the traditional system. The result is a useful basis for applying neural networks to transmitter and receiver of communication system.
Keywords :
backpropagation; combined source-channel coding; decoding; demodulation; feedforward neural nets; modulation; radio receivers; radio transmitters; signal reconstruction; telecommunication computing; backpropagation neural networks; decoding; demodulation; joint source/channel coding modulation; multilayer feed-forward network; receiver; reconstructed signal; transmitter; Artificial neural networks; Channel coding; Communication systems; Decoding; Demodulation; Feedforward neural networks; Modulation coding; Multi-layer neural network; Neural networks; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1279235
Filename :
1279235
Link To Document :
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