Title :
Research on the Viterbi and BCJR decoding schemes of convolutional codes under different sources
Author :
Yuan, Dong-Feng ; Shan, Xiao-Hong
Author_Institution :
Dept. of Electr. Eng., Shandong Univ., Jinan, China
Abstract :
The performance of Viterbi and BCJR (Bahl-Cocke-Jelinek-Raviv) algorithms on AWGN channels is investigated with equally/unequally likely distributed data sources and image sources. On the basis of computer simulations and analysis by comparison, the feasibility of applying the BCJR algorithm to convolutional codes is further explored in this paper
Keywords :
AWGN channels; Viterbi decoding; convolutional codes; image coding; maximum likelihood decoding; AWGN channels; BCJR decoding; MAP decoding algorithm; Viterbi decoding; convolutional codes; equally likely distributed data sources; image sources; maximum a posteriori decoding algorithm; maximum likelihood decoding; unequally likely distributed data sources; AWGN channels; Algorithm design and analysis; Computer simulation; Convolutional codes; Decoding; Delay; Entropy; Error probability; Probability distribution; Viterbi algorithm;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd
Conference_Location :
Rhodes
Print_ISBN :
0-7803-6728-6
DOI :
10.1109/VETECS.2001.944612
