A BEAST for prowling in trees
Author
Summary, in English
When searching for convolutional codes and tailbiting codes of high complexity it is of vital importance to use fast algorithms for computing their weight spectra, which corresponds to finding low-weight paths in their code trellises. This can be efficiently done by a combined search in both forward and backward code trees. A bidirectional efficient algorithm for searching such code trees (BEAST) is presented. For large encoder memories, it is shown that BEAST is significantly more efficient than comparable algorithms. BEAST made it possible to rind new convolutional and tailbiting codes that have larger free (minimum) distances than the previously best known codes with the same parameters. Tables of such codes are presented.
Publishing year
2004
Language
English
Pages
1295-1302
Publication/Series
IEEE Transactions on Information Theory
Volume
50
Issue
6
Document type
Journal article
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Keywords
- tailbiting codes
- distance
- convolutional codes
- bidirectional search
- free
- distance spectrum
Status
Published
ISBN/ISSN/Other
- ISSN: 0018-9448