Abstract
The immense diversity of the ways of building a turbo code (TC) and the firm mathematical unpredictability of their performance clearly leads (the user or designer) to simulate the operation of the TCs. The particularity of the TCs of using recursive algorithms in the decoding process, as well as the necessity of memorizing the data sequences in order to interlace them, imposes certain restrictions on the simulators. Also, having as target very small bit error/frame rates (BER/FER), the TC simulator is required a high processing speed and a fine resolution. If the necessary memory does not depend on the programming environment and does not, actually, raise any problems for the storage capacity of the present-day PCs, the speed and resolution are critical parameters. This paper compares turbo code simulators developed in Matlab, C and C#. The purpose of this comparison is that of revealing the advantages and disadvantages implied by every programming environment. The accuracy of the estimation of performances as well as the processing speed are compared.
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Balta, H., Isar, A., Isar, D., Balta, M. (2012). Simulating the Operation of Turbo Codes through the Monte Carlo Method, Comparison between MATLAB, C and C#. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_146
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DOI: https://doi.org/10.1007/978-3-642-27552-4_146
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