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 | Size | Format | |
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ShahD2009m-1b.pdf | 3.13 MB | Adobe PDF | View/Open |
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