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Talk · International Conference on Application of Information and Communication Technologies · October 1, 2009

A teaching demo application of convolutional coding techniques for wireless communications

Ali Çalhan, Celal Çeken, Ismail Erturk

Abstract

This paper introduces a demo application toolkit, implemented using MATLAB GUI, for teaching convolutional coding techniques employed in wireless communications. In this study presented, Viterbi decoding algorithm, Log-MAP and SOVA Turbo decoding algorithms are performed using MATLAB software. With the toolkit developed, an example image transfer application has been carried out for comparative performance analysis of these techniques. Using the toolkit, performances of the convolutional coding techniques are easily compared for various wireless channel models and through the user friendly and visualized interface provided, learning process of these techniques is satisfactorily achieved as well.

Error Correcting Code TechniquesExperimental Learning in EngineeringAdvanced Wireless Communication Techniquesconvolutional codeswireless communicationViterbi decoding

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