ITERATIVE CONVOLUTIONAL DECODERS BASED ON NEURAL NETWORKS APPLICATIONS

机译：基于神经网络应用的迭代卷积解码器

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A mathematical model of a K rate conventional convolutional encoder/decoder system was developed and the neural networks technique, based on the gradient descent algorithm, was applied to decode the received signal. Using the general expression for the energy function, needed for the recurrent neural networks decoding, the expressions for the gradient decent updating rule are derived and the neural network decoder was designed. The developed theory is demonstrated on an example 2/3-rate code. It was shown that the proposed technique can achieve the coding gain similar or better that that achieved by the Viterbi algorithm while preserving the possibility of parallel processing.

机译：建立了K / n速率常规卷积编码器/解码器系统的数学模型，并基于梯度下降算法将神经网络技术应用于接收信号的解码。利用递归神经网络解码所需的能量函数的一般表达式，推导了梯度体面更新规则的表达式，并设计了神经网络解码器。在示例2/3速率代码上演示了开发的理论。结果表明，所提出的技术可以在保持并行处理的可能性的同时，达到与维特比算法相似或更好的编码增益。

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来源
《IASTED(International Association of Science and Technology for Development) International Conference on Communications and Computer Networks; 20051024-26; Marina del Rey(US)》|2005年|P.363-368|共6页
会议地点 Marina del Rey(US)
作者
Stevan Mirko Berber; Yi-Chun Liu;
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作者单位

University of Auckland, Department of Electrical and Computer Engineering, 38 Princes Street, Auckland, New Zealand;

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会议组织
原文格式 PDF
正文语种 eng
中图分类通信;计算机网络;
关键词
artificial intelligence; convolutional codes; neural networks;

机译：人工智能;卷积码;神经网络;

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1. On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-Based Bio-Signal Decoding in BCI Speller Applications [J] . Podmore Joshua J., Breckon Toby P., Aznan Nik K. N., IEEE transactions on neural systems and rehabilitation engineering . 2019,第4期

机译：深度卷积神经网络对BCI Speller应用中基于SSVEP的生物信号解码的相对贡献
2. On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-Based Bio-Signal Decoding in BCI Speller Applications [J] . Podmore Joshua J., Breckon Toby P., Aznan Nik K. N., IEEE transactions on neural systems and rehabilitation engineering . 2019,第4期

机译：关于BCI拼写应用中SSVEP基生物信号解码的深度卷积神经网络的相对贡献
3. Soft output decision convolutional (SONNA) decoders based on the application of neural networks [J] . Stevan M. Berber Engineering Applications of Artificial Intelligence . 2008,第1期

机译：基于神经网络的软输出决策卷积（SONNA）解码器
4. ITERATIVE CONVOLUTIONAL DECODERS BASED ON NEURAL NETWORKS APPLICATIONS [C] . Stevan Mirko Berber, Yi-Chun Liu, International Association of Science and Technology for Development(IASTED), IASTED International Conference on Communications and Computer Networks . 2005

机译：基于神经网络应用的迭代卷积解码器
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ITERATIVE CONVOLUTIONAL DECODERS BASED ON NEURAL NETWORKS APPLICATIONS

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