The Fractality of Polar and Reed–Muller Codes
The generator matrices of polar codes and Reed–Muller codes are submatrices of the Kronecker product of a lower-triangular binary square matrix. For polar codes, the submatrix is generated by selecting rows according to their Bhattacharyya parameter, which is related to the error probability of sequ...
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doaj-aa9a4843c1bd4af6a6fc05d1b0e121802020-11-24T22:20:48ZengMDPI AGEntropy1099-43002018-01-012017010.3390/e20010070e20010070The Fractality of Polar and Reed–Muller CodesBernhard C. Geiger0Signal Processing and Speech Communication Laboratory, Graz University of Technology, 8010 Graz, AustriaThe generator matrices of polar codes and Reed–Muller codes are submatrices of the Kronecker product of a lower-triangular binary square matrix. For polar codes, the submatrix is generated by selecting rows according to their Bhattacharyya parameter, which is related to the error probability of sequential decoding. For Reed–Muller codes, the submatrix is generated by selecting rows according to their Hamming weight. In this work, we investigate the properties of the index sets selecting those rows, in the limit as the blocklength tends to infinity. We compute the Lebesgue measure and the Hausdorff dimension of these sets. We furthermore show that these sets are finely structured and self-similar in a well-defined sense, i.e., they have properties that are common to fractals.http://www.mdpi.com/1099-4300/20/1/70polar codesReed–Muller codesfractalsself-similarity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bernhard C. Geiger |
spellingShingle |
Bernhard C. Geiger The Fractality of Polar and Reed–Muller Codes Entropy polar codes Reed–Muller codes fractals self-similarity |
author_facet |
Bernhard C. Geiger |
author_sort |
Bernhard C. Geiger |
title |
The Fractality of Polar and Reed–Muller Codes |
title_short |
The Fractality of Polar and Reed–Muller Codes |
title_full |
The Fractality of Polar and Reed–Muller Codes |
title_fullStr |
The Fractality of Polar and Reed–Muller Codes |
title_full_unstemmed |
The Fractality of Polar and Reed–Muller Codes |
title_sort |
fractality of polar and reed–muller codes |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2018-01-01 |
description |
The generator matrices of polar codes and Reed–Muller codes are submatrices of the Kronecker product of a lower-triangular binary square matrix. For polar codes, the submatrix is generated by selecting rows according to their Bhattacharyya parameter, which is related to the error probability of sequential decoding. For Reed–Muller codes, the submatrix is generated by selecting rows according to their Hamming weight. In this work, we investigate the properties of the index sets selecting those rows, in the limit as the blocklength tends to infinity. We compute the Lebesgue measure and the Hausdorff dimension of these sets. We furthermore show that these sets are finely structured and self-similar in a well-defined sense, i.e., they have properties that are common to fractals. |
topic |
polar codes Reed–Muller codes fractals self-similarity |
url |
http://www.mdpi.com/1099-4300/20/1/70 |
work_keys_str_mv |
AT bernhardcgeiger thefractalityofpolarandreedmullercodes AT bernhardcgeiger fractalityofpolarandreedmullercodes |
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