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An efficient reformulation based architecture for adaptive forward error correction decoding in wireless applications

机译:无线应用中基于有效重构的自适应前向纠错解码架构

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The authors present a reformulation based architecture for threshold selection in adaptive foward error correction (FEC) decoding in wireless applications. The reformulation technique results in an efficient VLSI architecture with a significant reduction in hardware complexity. The paper describes the reformulation technique, its applications on the architecture for adaptive forward error correction (FEC) decoding algorithm and its implementations. We demonstrate that in addition to significant reduction in data path complexity, there is also a 25% to 47% storage reduction in the path metric unit (PMU).
机译:作者提出了一种基于重构的体系结构,用于无线应用中自适应前向纠错(FEC)解码中的阈值选择。重新制定技术可形成有效的VLSI架构,并显着降低硬件复杂性。本文介绍了重构技术,其在自适应前向纠错(FEC)解码算法的体系结构上的应用及其实现。我们证明,除了显着降低数据路径复杂性之外,路径度量单位(PMU)的存储量也减少了25%至47%。

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