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Implementation and Performance Analysis of Two Error Detection and Correction Techniques: CRC and Hamming Code

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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)

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.

Suggested Citation

  • Swati Chaturvedi & Sukrut Pasumarthi & Nan Wang, 2018. "Implementation and Performance Analysis of Two Error Detection and Correction Techniques: CRC and Hamming Code," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 10(1), pages 36-48, January.
    • Handle: RePEc:igg:jitn00:v:10:y:2018:i:1:p:36-48
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