DocumentCode :
2057838
Title :
Analysis of decoding complexity using the Berry-Esseen theorem
Author :
Chen, Po-Ning ; Han, Yunghsiang S. ; Hartmann, Carlos R P ; Wu, Hong-Bin
Author_Institution :
Dept. of Comm. Eng., Nat. Chiao Tung Univ, Taiwan
fYear :
2002
fDate :
2002
Firstpage :
286
Abstract :
This work presents a novel technique to analyze the computational efforts of an ordering-free variant of the generalized Dijkstras´s algorithm (GDA) and the maximum-likelihood sequential decoding algorithm (MLSDA) based on the Berry-Esseen theorem. Different from the theoretical bounds determined by the conventional central limit theorem argument, which often holds only for sufficiently large block length, the new bounds are valid for any block length.
Keywords :
AWGN channels; binary codes; block codes; computational complexity; convolutional codes; linear codes; maximum likelihood decoding; sequential decoding; AWGN channel; Berry-Esseen theorem; binary convolutional code; decoding complexity analysis; generalized Dijkstras algorithm; linear block code; maximum-likelihood sequential decoding algorithm; ordering-free variant; AWGN channels; Additive noise; Additive white noise; Algorithm design and analysis; Block codes; Convolutional codes; Gaussian noise; Maximum likelihood decoding; Random sequences; Random variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7501-7
Type :
conf
DOI :
10.1109/ISIT.2002.1023558
Filename :
1023558
Link To Document :
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