Title :
Decoding complement-closed codes with coordinate-disjoint decomposition
Author :
Ma, S. ; Zhou, H. ; Chen, C.S. ; Yuan, J.
Author_Institution :
Dept. of Electr. Eng., Akron Univ., OH, USA
Abstract :
Presents a multilayer neural net decoder for a group of linear block codes with complement-closedness (CC) property. Many well known linear block codes such as Hamming and Golay all fall into this group. A method called coordinate-disjoint decomposition (CDD) is introduced, and it is shown that this method leads to a minimised decoder structure. Coordinate-disjoint decomposition of Hamming (2 r-1, 2 r-r-1) and extended Hamming (2 r, 2 r-r-1) codes, Golay (24, 12) code, as well as quadratic residue (32, 16) code are illustrated, together with their corresponding decoder structures.<>
Keywords :
decoding; error correction codes; neural nets; Golay code; Hamming code; complement-closed codes; decoder structures; decoding; extended Hamming code; linear block codes; multilayer neural net decoder;
Journal_Title :
Communications, Speech and Vision, IEE Proceedings I