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New Constructions of High-Performance Low-Complexity Convolutional Codes
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AI
DOI：10.1109/TCOMM.2010.07.090149.png)
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摘要
En 中文
In this paper, new constructions of low trellis complexity convolutional codes are presented. New codes are found by searching into a specific class of time varying convolutional codes, which is shaped by some basic properties and search restrictions. An efficient technique for obtaining minimal trellis modules for the proposed codes is provided. Finally, new low complexity convolutional codes of various code rates and memory sizes are tabulated.
Keyword:
Convolutional codes
trellis complexity
minimal trellis
maximum likelihood decoding
期刊
IF:
8.3
论文数:
1.2W
被引数:
3.6W
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