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University of Illinois at Urbana-Champaign

Algorithms and Architectures for Soft -Decoding Reed -Solomon Codes

Abstract

dc:description

Finally, the applicability of soft-decoding for disk-drive applications is studied. Based on performance improvements and complexity requirements, generalized minimum distance decoding with maximum a priori soft-detection is selected, and the corresponding architecture is developed. The generalized minimum distance decoder is expected to give 0.5 dB gain over a hard-decoder at the target bit error-rate of 10-12 for the disk-drive channel. The architecture is synthesized using the Virtual Silicon standard cell library in a 0.13-mum CMOS process. It has an area of 7.29 mm² and achieves a throughput of 8 Gbps.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ahmed, Arshad
Contributors dc:contributor
  • Shanbhag, Naresh R.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3242776
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/80969

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ahmed, Arshad. Algorithms and Architectures for Soft -Decoding Reed -Solomon Codes. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/80969