Direct root computation architecture for algebraic soft-decision decoding of reed-solomon codes

被引：2
|
作者：
Ma, Jun [1 ]
Vardy, Alexander [1 ]
Wang, Zhongfeng [2 ]
Chen, Qinqin [2 ]
机构：
[1] Univ Calif San Diego, Dept Elect Engn, La Jolla, CA 92093 USA
[2] Oregon State Univ, Sch EECS, Corvallis, OR 97331 USA
来源：
2007 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11 | 2007年
关键词：
D O I：
10.1109/ISCAS.2007.378492
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Algebraic soft-decision decoding [4] is a recent breakthrough in decoding of Reed-Solomon codes and it achieves significant decoding gain over conventional hard-decision decoding. In the bivariate polynomial factorization step of the new decoding algorithm, solving polynomial equations is required and it may contribute to a significant portion of the overall decoding latency. In this paper, we present a low-latency direct root computation architecture, which should lead to a factorization architecture that is of lower latency and more area efficient.
引用
收藏
页码：1409 / +
页数：2
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