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Wave-parallel computing systems using multiple-valued pseudo-orthogonal sequences

机译:使用多值伪正交序列的波行计算系统

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A Wave-Parallel Computing (WPC) technique is proposed to address the interconnection problem in massively interconnected VLSI architectures. The fundamental concept is the multiplexing of several signals onto a single line using orthogonal sequences as information carriers. To reduce MUX/DEMUX circuits, we propose WPC concept which can process multiplexed data directly without decomposition. We investigate the possible implementation of WPC based on the present MOS technology, and propose the multiple valued pseudo-orthogonal m-sequence carrier generation technique. Applications of WPC to neural networks and image processing are discussed, with emphasis on the reduction in the in number of interconnections and on the noise tolerance property.
机译:提出了一种波行的计算(WPC)技术来解决大规模互连的VLSI架构中的互连问题。基本概念是使用正交序列作为信息载体将若干信号的复用到单行上。为了减少Mux / Demux电路,我们提出WPC概念,可以直接处理多路复用数据而没有分解。我们研究了基于当前MOS技术的WPC的可能实现,并提出了多个值伪正交的M序列载波生成技术。讨论WPC对神经网络和图像处理的应用,重点是互连数量和噪声容差性的减少。

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