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Simulating the Operation of Turbo Codes through the Monte Carlo Method, Comparison between MATLAB, C and C#

机译:通过蒙特卡洛方法模拟Turbo代码的操作,MATLAB,C和C#之间的比较

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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.
机译:构造Turbo代码(TC)的方式的巨大多样性以及其性能的可靠数学不可预测性(用户或设计者)显然会导致用户模拟TC的运行。在解码过程中使用递归算法的TC的特殊性,以及存储数据序列以便对其进行交织的必要性,对模拟器施加了一定的限制。而且,由于目标是非常小的误码率/帧率(BER / FER),因此要求TC仿真器具有较高的处理速度和较高的分辨率。如果所需的内存不依赖于编程环境,并且实际上并未对当今PC的存储容量造成任何问题,则速度和分辨率是关键参数。本文比较了用Matlab,C和C#开发的Turbo代码模拟器。进行比较的目的是揭示每种编程环境所隐含的优缺点。比较了性能估计的准确性以及处理速度。

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