Title :
Decoding of linear codes with low-density generator matrix over finite-state binary markov channels
Author :
Lou, Hanqing ; Garcia-Frias, Javier
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE
Abstract :
We propose a modified algorithm for decoding of linear codes with low-density generator matrix (LDGM codes) over finite-state binary Markov channels. Simulation results show that the proposed scheme outperforms regular LDPC codes and achieves a performance close to that of turbo codes with much less encoding/decoding complexity
Keywords :
decoding; hidden Markov models; linear codes; parity check codes; telecommunication channels; turbo codes; LDGM codes; LDPC codes; decoding; finite-state binary Markov channel; linear codes; low density parity check codes; low-density generator matrix; turbo codes; Code standards; Computational modeling; Decoding; Digital communication; Error probability; Hidden Markov models; Linear code; Parity check codes; Sparse matrices; Turbo codes;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365411
