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.
译码电路接收测量端模拟信号，转化为7段显示的数字信号，发送到数据锁存器上。
The A/D decoding circuit received simulation signal form measurement port and converted the signals into data signals which displayed by 7-segment, then signals were sent to data latch.
模拟计算表明：算法的译码性能和译码速度都比较好，具有较高的实用价值。
Simulation results show that the decoding performance and the decoding speed are ideal to be utilized in practical application.
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