2009 IEEE International Symposium on Information Theory 2009
DOI: 10.1109/isit.2009.5205703
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A k-cube graph construction for mappings from Binary vectors to permutations

Abstract: A new graph theoretic construction mapping binary sequences to permutation sequences is presented. The k-cube graph construction has reached the upper bound on the sum of the distances for certain values of the length of the permutation sequence. This contributed in a better way to understand the distance-reducing mapping, which was not investigated before.

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Cited by 6 publications
(7 citation statements)
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“…The total distances, D and E play a role in the permutation code's error correcting capabilities, as was shown in [15]. In the case of M = 4 as depicted in Example 6.2 in the Appendix, the mapping can increase the distance and therefore the error correction capability of the resultant code.…”
Section: Permutation Symbols and Frequency Mappingsmentioning
confidence: 88%
“…The total distances, D and E play a role in the permutation code's error correcting capabilities, as was shown in [15]. In the case of M = 4 as depicted in Example 6.2 in the Appendix, the mapping can increase the distance and therefore the error correction capability of the resultant code.…”
Section: Permutation Symbols and Frequency Mappingsmentioning
confidence: 88%
“…6 shows the starting permutation sequence as 135. We swap the state-symbol with the following state-symbol in the permutation sequence based on the k-cube construction [12]. We end the swapping process at the last state in the graph.…”
Section: Hamming Distance Approachmentioning
confidence: 99%
“…To create mappings, we make use of the cube graph construction [14] in our work, because it is the only simple construction to our knowledge to provide the highest sum on the Hamming distances, which plays a role in the error correcting capabilities, compared to other constructions [6][7][8]. We use N k (M, n, 未) to denote the SN-DPMs from binary sequences of length n to permutation sequences of length M with spectral nulls at multiples of 1/k.…”
Section: Examplementioning
confidence: 99%
“…The finite state machine of the resultant PAM signals will have the same finite state machine of the base code [14], which in this case is the convolutional code with K = 3 and R = 1/2.…”
Section: -Level Pam Signalsmentioning
confidence: 99%