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Low-complexity architecture for Chase soft-decision Reed-Solomon decoding

Authors: Yung-Kuei Lu; Shen-Ming Chung; Ming-Der Shieh;

Low-complexity architecture for Chase soft-decision Reed-Solomon decoding

Abstract

Soft-decision decoding of Reed-Solomon (RS) codes can achieve good coding gain by using the probability information from the channel. Among various soft-decision algorithms, the Chase algorithm has moderate performance and rational complexity and hence is usually designed for hardware implementation. Chase-type decoders, however, still have much higher complexity than that of conventional hard-decision decoders. This paper proposes a reduced-complexity Chase (RCC) algorithm and its corresponding high-speed VLSI architecture. With the developed fast and efficient decision-making scheme, the resulting hardware complexity is greatly reduced while keeping the error correction performance comparable to that of the Chase decoders. For a (255, 239) RS code, experimental results show that the proposed decoder design has at least 44.6% improvement in area-time complexity as compared to the related works.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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