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Bootstrapped Low Complexity Iterative Decoding Algorithm for Low Density Parity Check (LDPC) Codes

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Mobile Wireless Middleware, Operating Systems, and Applications (MOBILWARE 2010)

Abstract

RRWBF (Reliability ratio based weighted bit-flipping) algorithm is one of the best hard decision decoding algorithms in performance. Recently several modifications are done to this technique either to improve performance or to lower the complexity. The IERRWBF (Implementation efficient reliability ratio based weighted bit-flipping) is developed targeting decreasing processing time of the decoding process. Low Complex IERRWBF (Low complex implementation efficient reliability ratio based weighted bit-flipping) algorithm is one of the latest algorithms targeting lowering decoding complexity, by decreasing number of iterations required to decode received code words and to solve the problem faced by IERRWBF which is the exponential increase in complexity as maximum number of iterations increases. In this paper we are targeting improving the performance of recent developed algorithm named Low Complex IERRWBF by adding a bootstrap step to the decoding technique which leads to increase in reliability of received bits then the number of decoded bits will be increased leading to improvement in performance.

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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Mohamed, A., Elsabrouty, M., El-Ramly, S. (2010). Bootstrapped Low Complexity Iterative Decoding Algorithm for Low Density Parity Check (LDPC) Codes. In: Cai, Y., Magedanz, T., Li, M., Xia, J., Giannelli, C. (eds) Mobile Wireless Middleware, Operating Systems, and Applications. MOBILWARE 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17758-3_29

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  • DOI: https://doi.org/10.1007/978-3-642-17758-3_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17757-6

  • Online ISBN: 978-3-642-17758-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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