Implementation of (15, 9) Reed Solomon Minimal Instruction set computing on FPGA using handel-C

J J Ong; Li-Minn Ang; K P Seng

doi:10.1109/ICCAIE.2010.5735103

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Implementation of (15, 9) Reed Solomon Minimal Instruction set computing on FPGA using handel-C

Conference paper

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Implementation of (15, 9) Reed Solomon Minimal Instruction set computing on FPGA using handel-C

J J Ong, Li-Minn Ang and K P Seng

2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010, pp.356-361

International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010), 2010 (Kuala Lumpur, Malaysia, 05-Dec-2010–08-Dec-2010)

Institute of Electrical and Electronics Engineers

2010

DOI: https://doi.org/10.1109/ICCAIE.2010.5735103

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Abstract

Reed Solomon

reduced instruction set computing

Reed Solomon coding has an important role to play as to sustain reliability of data communication. However, the encoder consumes significant amount of power that affects the cost of producing the hardware. Besides, the complicated encoder circuit also does affect the cost of implemented hardware. There is a need to build a simple encoder which does the similar data encoding function. By amalgamate One Instruction Set Computer (OISC) and the Galois Field arithmetic, a Reed Solomon Minimal Instruction Computer (MISC) processor is developed. This processor has simpler circuit that still has the same encoded codeword produced.

Details

Title: Implementation of (15, 9) Reed Solomon Minimal Instruction set computing on FPGA using handel-C
Authors: J J Ong (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
K P Seng (Author) - University of Nottingham Malaysia Campus
Publication details: 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010, pp.356-361
Conference details: International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010), 2010 (Kuala Lumpur, Malaysia, 05-Dec-2010–08-Dec-2010)
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2010
DOI: 10.1109/ICCAIE.2010.5735103
ISBN: 9781424490547
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513902102621
Output Type: Conference paper

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