Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/161
Title: A Comparative study of min-sum based decoding algorithms for low density parity check codes
Authors: Shah, Dhaval
Keywords: Coding theory;Error-correcting codes (Information theory)
Issue Date: 10-Nov-2012
Abstract: The demand for large scale broadband networks is gaining immense popularity for convenient access of information. A common concern of transmitting data through a wireless medium is the effects of noise on the signal. Maintaining the reliability of the data becomes crucial. Employing Low Density Parity Check (LDPC) codes specified by the IEEE 802.16e (WiMAX) standard simplifies the encoding and decoding structure within a digital communication system, making it attractive for the premise of this study.
URI: http://knowledgecommons.lakeheadu.ca/handle/2453/161
metadata.etd.degree.discipline: Engineering : Electrical & Computer
metadata.etd.degree.name: Master of Science
metadata.etd.degree.level: Master
metadata.dc.contributor.advisor: Yu, Nam Yul
Appears in Collections:Electronic Theses and Dissertations from 2009

Files in This Item:
File Description SizeFormat 
ShahD2009m-1b.pdf3.13 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.