Highly parallel VLSI architectures for linear convolution
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abstract
This paper presents highly parallel VLSI structures for linear convolution. Our methodology implements Toom's algorithm and is based on mapping a modified version of the tensor product factorization proposed by Granata et. al. [4]. The resulting networks have very simple structure, highly regular topology, and use simple bit-serial devices. Additionally, the proposed networks have very small depth and contain only a single stage of multipliers, while all other stages contain adders only.
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Proceedings of ISCAS'95 - International Symposium on Circuits and Systems