本文提出了一种源于汉明类多层前向神经网络分组码译码器。
This paper presents a neural network decoder of linear block codes which originates from Hamming network.
本文旨在研究神经网络在最小加权距离译码中的应用。
Our main goal is to explore the application of neural networks to minimum weighted distance decoding.
计算机模拟表明，在加性高斯噪声下，使用该神经网络可以达到最大似然译码。
The computer simulation shows that the decoder can achieve maximum likelihood decoding in the environmemts of additive white Gaussian noise.
配合数字化网络趋势，该系统采用了ISDN的“U”接口传输技术和ADPCM编译码技术。
According to the trend of digital network, the "U" interface technology of ISDN and ADPCM technology is adopted.
目的节点可以利用源节点和中继节点的信息进行联合译码，我们称之为网络LDPC编码。
Then the destination node jointly decodes the messages from the source and relay nodes. We call such a procedure as a network LDPC code.
目前对莫尔斯信号的译码器的研究都是针对单一信号源，信息传到PC机以后才能实现网络化传输。
Now the study of Morse signal decode is aimed at single signal source. The information can be transmitted in networks only after it is sent to PC.
目前对莫尔斯信号的译码器的研究都是针对单一信号源，信息传到PC机以后才能实现网络化传输。
Now the study of Morse signal decode is aimed at single signal source. The information can be transmitted in networks only after it is sent to PC.
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