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An error correcting decoder implemented as a digital neural network with a new clocking scheme

机译:利用新的时钟方案实现为数字神经网络的纠错解码器

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A digital neural network decoder for a three bit error correcting code with block length 64 has been built. Balanced code words make correction of more than three bit errors possible. A dynamically changing threshold function allows parallel updating of the neurons in the Hopfield structured network. This method is faster than the serial approach and has better error correction abilities than a fixed step function in fully parallel mode. A prototype network running at 50 MHz has been built with a new clocking technique. When cascading eight pipelined nets on a chip we expect error correction at 12 Gbit/s at a clock frequency of 200 MHz.
机译:已经建立了用于块长度为64的三位纠错码的数字神经网络解码器。平衡的代码字可以纠正三个以上的位错误。动态变化的阈值功能允许并行更新Hopfield结构网络中的神经元。这种方法比串行方法要快,并且在完全并行模式下比固定步长函数具有更好的纠错能力。使用新的时钟技术已经构建了运行在50 MHz的原型网络。当在芯片上级联八个流水线网络时,我们期望在200 MHz的时钟频率下以12 Gbit / s的速度进行纠错。

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