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《Modern Electronics Technique》 2007-01
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Research of Convolutional Decoder Based on Recurrent Neural Network(RNN)

LIN Guohua~(1,2),YIN Kuixi~1(1.College of Physics Science & Technology,Nanjing Normal University,Nanjing,210097,China;2.Zhenjiang Watercraft College,Zhenjiang,212003,China)  
In this paper a detailed principle and application of a 1/n rate convolution decoder based on Recurrent Neural Network(RNN) are introduced.Simulation results have confirmed that the RNN decoder is capable of performing very close to the Viterbi decoder and works very well for some specially structured convolution codes.In particular,decoding capabilities of RNN decoders are improved when Simulated Annealing(SA) technique has been used.
【Fund】: 地理信息科学江苏省重点实验室开放基金资助(JK20050304)
【CateGory Index】: TN764
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 ZHANG Jianbin (Department of Electronic Information Engineering,Jiangsu Teachers University of Technology, Changzhou,213001,China);Design of Convolution Encoder and Decoder Based on VHDL Language[J];现代电子技术;2005-03
【Co-citations】
Chinese Journal Full-text Database 2 Hits
1 MI Bao-liang,WU Guo-zeng (Dongchang College Liaocheng University,Liaocheng 252000,China);Design and simulation of password control system based on VHDL[J];国外电子元器件;2008-06
2 LIN Guohua~(1,2),YIN Kuixi~1(1.College of Physics Science & Technology,Nanjing Normal University,Nanjing,210097,China;2.Zhenjiang Watercraft College,Zhenjiang,212003,China);Research of Convolutional Decoder Based on Recurrent Neural Network(RNN)[J];现代电子技术;2007-01
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