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应用科学学报 ›› 2005, Vol. 23 ›› Issue (1): 108-110.

• 论文 • 上一篇    

基于概率神经网络的信源-信道联合编码/调制

殷玮玮, 李荣伟, 吴乐南   

  1. 东南大学无线电工程系, 江苏南京 210096
  • 收稿日期:2003-11-07 修回日期:2004-05-07 出版日期:2005-01-31 发布日期:2005-01-31
  • 作者简介:殷玮玮(1978-),女,安徽巢湖人,博士生,E-mail:yww@seu.edu.cn;吴乐南(1952-),男,安徽安庆人,教授,博导.
  • 基金资助:
    国家自然科学基金资助项目(60072013)

Joint Source-Channel Coding/Modulation Based on NN

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

  1. 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

PDF

109

被引次数

4

摘要： 提出一种基于概率神经网络的联合编码调制方法.该方法的复杂度及延时低于传统的联合编码调制,对信道差错更鲁棒.仿真结果显示这种联合编码调制方案得到的重建信噪比比传统的级联编码有明显的改善.

关键词: 级联编码, 均方误差失真, 映射, 联合编码调制, 概率神经网络

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

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