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Efficient Interpolation Architecture for Soft-Decision Reed-Solomon Decoding

Authors: Jiangli Zhu; Xinmiao Zhang 0001;

Efficient Interpolation Architecture for Soft-Decision Reed-Solomon Decoding

Abstract

Reed-Solomon (RS) codes can be found in many digital communication and storage systems. Recently, significant advancements have been made on algebraic soft-decision decoding (ASD) of RS codes. Among the ASD algorithms with practical multiplicity assignment scheme, the bit-level generalized minimum distance (BGMD) decoding algorithm can achieve similar or higher coding gain with lower complexity. Interpolation is one of the major steps in ASD algorithms. The newly proposed Lee-O'Sullivan (LO) interpolation algorithm is computationally simple, and thus can potentially lead to practical high-speed and small-area hardware implementation of the interpolation step. In this paper, a novel interpolation architecture for the BGMD decoder based on the LO algorithm is proposed. By exploiting the characteristics of the LO algorithm and the multiplicity assignment scheme in the BGMD decoder, the proposed interpolation architecture for a (255, 239) RS code can achieve 15% higher efficiency in terms of speed over area ratio than prior efforts.

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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!
5
Average
Average
Top 10%
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