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Mathematical Biosciences and Engineering
Article . 2022 . Peer-reviewed
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Error detection and correction for coding theory on k-order Gaussian Fibonacci matrices

Authors: Aydınyuz, Suleyman; Aşcı, Mustafa;

Error detection and correction for coding theory on k-order Gaussian Fibonacci matrices

Abstract

<abstract><p>In this study, the coding theory defined for k-order Gaussian Fibonacci polynomials is rearranged by taking <inline-formula><tex-math id="M1">\begin{document}$ x = 1 $\end{document}</tex-math></inline-formula>. We call this coding theory the k-order Gaussian Fibonacci coding theory. This coding method is based on the <inline-formula><tex-math id="M2">\begin{document}$ {Q_k}, {R_k} $\end{document}</tex-math></inline-formula> and <inline-formula><tex-math id="M3">\begin{document}$ E_n^{(k)} $\end{document}</tex-math></inline-formula> matrices. In this respect, it differs from the classical encryption method. Unlike classical algebraic coding methods, this method theoretically allows for the correction of matrix elements that can be infinite integers. Error detection criterion is examined for the case of <inline-formula><tex-math id="M4">\begin{document}$ k = 2 $\end{document}</tex-math></inline-formula> and this method is generalized to <inline-formula><tex-math id="M5">\begin{document}$ k $\end{document}</tex-math></inline-formula> and error correction method is given. In the simplest case, for <inline-formula><tex-math id="M6">\begin{document}$ k = 2 $\end{document}</tex-math></inline-formula>, the correct capability of the method is essentially equal to 93.33%, exceeding all well-known correction codes. It appears that for a sufficiently large value of <inline-formula><tex-math id="M7">\begin{document}$ k $\end{document}</tex-math></inline-formula>, the probability of decoding error is almost zero.</p></abstract>

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Keywords

decoding, k-order gaussian fibonacci coding/decoding, k-order Gaussian Fibonacci numbers, Fibonacci numbers, 510, 004, fibonacci numbers, Gaussian Fibonacci numbers, k-order gaussian fibonacci matrices, error detection and correction, k-order Gaussian Fibonacci matrices, QA1-939, gaussian fibonacci numbers, k-order gaussian fibonacci numbers, TP248.13-248.65, Mathematics, k-order Gaussian Fibonacci coding, Biotechnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold