California State University, Northridge WordmarkOviatt Library WordmarkOviatt Library Catalog Wordmark
Author Alotaibi, Ahmed, author.
Title Implementation of (255, 223) Reed Solomon code encoder /decoder / by Ahmed Alotaibi.
Published [Northridge, California] : California State University, Northridge, 2012.

 Electronic Book  TA153 .Z953 2012 A56eb    ONLINE
Description 1 online resource (ix, 86 pages) : charts, some color.
Content Type text
still image
Format online resource
File Characteristics text file PDF
Thesis M.S. California State University, Northridge 2012.
Bibliography Includes bibliographical references (pages 48-49).
Summary In this project, the algorithm of the Reed-Solomon code encoder and decoder is discussed, followed by the implementations of (255, 223) Reed-Solomon codes. The encoder takes a 223-byte date block and generates a 255-byte code block to be transmitted on a digital communication channel. This code is defined over a Galois Field GF (2̂8) and has the capability of correcting up to sixteen short bursts of errors. The software part of the design is written in C language and tested using Simulink, and the hardware part is implemented using a microcontroller. The encoding process is simpler than the decoding process and requires less complex hardware. The decoder, however, is implemented using a parallel structure to speed up the Galois Field computations necessary to find out the locations of the errors and their values. The decoder logic circuit comprises multiple units in order to perform a parallel computation for the syndrome calculation. The Berlekamp's iterative algorithm is used to determine the coefficients of the error location polynomial. At the same time, the Chien's searching algorithm is used to calculate the roots of the error location polynomial, their error values, and perform the correction of the found errors.
Note Description based on online resource; title from PDF title page (viewed on January 24, 2013).
Subject Reed-Solomon codes.
Local Subject Dissertations, Academic -- CSUN -- Engineering -- Electrical and Computer Engineering.
OCLC number 850973033