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Shortened Linear Codes From APN and PN Functions.

Authors :
Xiang, Can
Tang, Chunming
Ding, Cunsheng
Source :
IEEE Transactions on Information Theory. Jun2022, Vol. 68 Issue 6, p3780-3795. 16p.
Publication Year :
2022

Abstract

Linear codes generated by component functions of perfect nonlinear (PN for short) and almost perfect nonlinear (APN for short) functions and the first-order Reed-Muller codes have been an object of intensive study in coding theory. The objective of this paper is to investigate some binary shortened codes of two families of linear codes from APN functions and some $p$ -ary shortened codes associated with PN functions. The weight distributions of these shortened codes and the parameters of their duals are determined. The parameters of these binary codes and $p$ -ary codes are flexible. Many of the codes presented in this paper are optimal or almost optimal. The results of this paper show that the shortening technique is very promising for constructing good codes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189448
Volume :
68
Issue :
6
Database :
Academic Search Index
Journal :
IEEE Transactions on Information Theory
Publication Type :
Academic Journal
Accession number :
157007208
Full Text :
https://doi.org/10.1109/TIT.2022.3145519