Title
On-demand Syndrome Calculation for BCH decoding
Abstract
This paper presents a new syndrome calculation method to reduce hardware complexity for BCH decoding. Compared to previous works that calculate all <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2t$</tex> syndromes simultaneously in the syndrome calculation (SC) stage, the proposed architecture schedules the syndrome calculation to reduce the hardware complexity; odd-indexed syndromes are computed in the SC stage, while even-indexed syndromes are computed when they are needed in the key-equation solving (KES) stage. Experimental results show that the proposed architecture saves 65% of hardware resources compared to the conventional architecture.
Year
DOI
Venue
2019
10.23919/ELINFOCOM.2019.8706448
2019 International Conference on Electronics, Information, and Communication (ICEIC)
Keywords
DocType
ISSN
Computer architecture,Complexity theory,Hardware,Decoding,Optimization,Multiplexing,Registers
Conference
2377-8431
ISBN
Citations 
PageRank 
978-89-950044-4-9
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Hyeonkyu Kim101.35
Soyeon Choi200.68
Hoyoung Yoo3759.99