基于概率神经网络的信源-信道联合编码/调制

Journal of Applied Sciences ›› 2005, Vol. 23 ›› Issue (1): 108-110.

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Joint Source-Channel Coding/Modulation Based on NN

YIN Wei-wei, LI Rong-wei, WU Le-nan

Department of Radio Engineering, Southeast University, Nanjing 210096, China

Received:2003-11-07 Revised:2004-05-07 Online:2005-01-31 Published:2005-01-31

Abstract

Abstract: A new JSCCM scheme based on a probabilistic neural network is proposed.The complexity and delay in this system is less than the traditional one and it is more robust against channel errors.Simulation results demonstrate that the performance of the JSCCM is far better than that of the tandem coding modulation system.

Key words: mapping, joint source-channel coding modulation, MSE, tandem coding, probabilistic neural network

CLC Number:

TN91

YIN Wei-wei, LI Rong-wei, WU Le-nan. Joint Source-Channel Coding/Modulation Based on NN[J]. Journal of Applied Sciences, 2005, 23(1): 108-110.

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Joint Source-Channel Coding/Modulation Based on NN

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