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ohiou1244495510.pdf (460.24 KB)
ETD Abstract Container
Abstract Header
Performance of a Low Rate Duo - Binary Turbo Decoder With Genetic Optimization
Author Info
Chowdhari, Vikram
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1244495510
Abstract Details
Year and Degree
2009, Master of Science (MS), Ohio University, Electrical Engineering (Engineering and Technology).
Abstract
Turbo Code is a method of error correction coding, whose performance is veryclose to the Shannon limit. It has a feedback loop which decodes the data more efficiently. For several years, improvement in the performance of the system using turbo codes is obtained. In this thesis various non-linear and stochastic optimizing techniques are tested to improve the codeword error rate, by bringing it close to Shannon limit. A mathematic optimization called Genetic Algorithm is used and good performance is obtained.
Committee
Jeffrey Dill (Advisor)
Trent Skidmore (Committee Member)
Savas Kaya (Committee Member)
William Kaufman (Committee Member)
Pages
67 p.
Subject Headings
Electrical Engineering
Keywords
turbo codes
;
genetic algorithm
;
duo binary turbo codes
;
error correction codes
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Citations
Chowdhari, V. (2009).
Performance of a Low Rate Duo - Binary Turbo Decoder With Genetic Optimization
[Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1244495510
APA Style (7th edition)
Chowdhari, Vikram.
Performance of a Low Rate Duo - Binary Turbo Decoder With Genetic Optimization.
2009. Ohio University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1244495510.
MLA Style (8th edition)
Chowdhari, Vikram. "Performance of a Low Rate Duo - Binary Turbo Decoder With Genetic Optimization." Master's thesis, Ohio University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1244495510
Chicago Manual of Style (17th edition)
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Document number:
ohiou1244495510
Download Count:
1,221
Copyright Info
© 2009, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.