Title :
High-rate convolutional codes: search, efficient decoding, and applications
Author :
Amat, A. Graell i ; Benedetto, S. ; Montorsi, G.
Author_Institution :
Politecnico di Torino, Italy
Abstract :
We address several aspects of high-rate convolutional codes. Some results from an exhaustive search for codes optimized with respect to their distance spectrum, and encoders optimized with respect to their input-output weight enumerating function are presented. An additive version of the dual-SISO algorithm suitable to decode such codes with limited complexity is described, together with simulation results for both stand-alone and concatenated codes showing the codes performance improvement.
Keywords :
concatenated codes; convolutional codes; decoding; dual codes; error statistics; search problems; concatenated codes; convolutional codes; decoding; distance spectrum; dual-SISO algorithm; exhaustive search; high-rate codes; input-output weight enumerating function; inverse puncturing technique; simulation results; stand-alone codes; Bandwidth; Block codes; Concatenated codes; Convolutional codes; Decoding; Joining processes; Microelectronics; Polynomials;
Conference_Titel :
Information Theory Workshop, 2002. Proceedings of the 2002 IEEE
Print_ISBN :
0-7803-7629-3
DOI :
10.1109/ITW.2002.1115410
