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The A3D-TC: An Adaptive Approach for Selecting Third Component Parameters to Generate Robust Turbo Codes

by Suman Kshirsagar, E. Nagabhooshanam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 21
Year of Publication: 2012
Authors: Suman Kshirsagar, E. Nagabhooshanam
10.5120/8337-1938

Suman Kshirsagar, E. Nagabhooshanam . The A3D-TC: An Adaptive Approach for Selecting Third Component Parameters to Generate Robust Turbo Codes. International Journal of Computer Applications. 52, 21 ( August 2012), 37-42. DOI=10.5120/8337-1938

@article{ 10.5120/8337-1938,
author = { Suman Kshirsagar, E. Nagabhooshanam },
title = { The A3D-TC: An Adaptive Approach for Selecting Third Component Parameters to Generate Robust Turbo Codes },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 21 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number21/8337-1938/ },
doi = { 10.5120/8337-1938 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:52.939806+05:30
%A Suman Kshirsagar
%A E. Nagabhooshanam
%T The A3D-TC: An Adaptive Approach for Selecting Third Component Parameters to Generate Robust Turbo Codes
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 21
%P 37-42
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent days, the introduction of third component in conventional turbo codes proved to be effective in improving the code performance. In such third component enabled turbo codes, the parameters such as permeability and permittivity rates seems to be very static and so such codes cannot perform under different noisy environments. In this paper, an adaptive third component turbo code (A3D-TC) is proposed to solve the aforesaid drawbacks. In A3D-TC, the third component parameters are made adaptive. This is accomplished by generating a GA-based knowledge source and feeding it to feed forward neural network. The network outputs third component parameters according to the noise and signal strengths so that bit error rate at decoding section can be minimized in an effective way. Extensive experimental results prove the performance of A3D-TC over the conventional 3D-TC under various noisy environments.

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Index Terms

Computer Science
Information Sciences

Keywords

A3D-TC knowledge feeding GA-based knowledge source adaptive permeability rate permittivity rate third component

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