Implementation and Performance Analysis of Two Error Detection and Correction Techniques: CRC and Hamming Code
Swati Chaturvedi,
Sukrut Pasumarthi and
Nan Wang
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Swati Chaturvedi: California State University, Fresno, CA, USA
Sukrut Pasumarthi: California State University, Fresno, CA, USA
Nan Wang: California State University, Fresno, CA, USA
International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 2018, vol. 10, issue 1, 36-48
Abstract:
In computer communication and telecommunication applications, error detection and correction techniques must be employed to ensure a reliable data transmission from the source to the destination. Two of the most prevailing techniques, Cyclic Redundancy Check (CRC) detection and Hamming code correction, are implemented and analyzed. The CRC method picks up prominence because it joins three focal points: extraordinary blunder identification capacities, minimal overhead, and simplicity of usage. Moreover, both the CRC and Hamming code are binary linear codes. However, one significant difference is that Hamming code only works on data of some fixed size (depending on the Hamming code used), whereas CRC is a convolution code that works on data of any size. In this paper, the authors will show how CRC helps in removing errors by passing three distorted signals and using CRC to receive the signal error free in the MATLAB environment.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jitn00:v:10:y:2018:i:1:p:36-48
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