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Reduction of computational complexity and sufficient stack size of the MLSDA by early elimination
Shin Lin Shieh
*
, Po-Ning Chen
, Yunghsiang S. Han
*
此作品的通信作者
電機工程學系
研究成果
:
Conference contribution
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同行評審
3
引文 斯高帕斯(Scopus)
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Keyphrases
Computational Complexity
100%
Constraint Length
16%
Convolutional Codes
16%
Cutting Rate
16%
Decoding Algorithm
100%
Decoding Complexity
16%
End Node
16%
Fano
16%
Information Bits
33%
Information Length
33%
Information Sequence
16%
Low SNR
16%
Maximum Likelihood
100%
Maximum Likelihood Decoder
16%
New Metric
16%
Sequential Decoding
100%
Sequential Search
50%
Signal-to-noise Ratio
16%
Stack Length
100%
Trellis
16%
Viterbi Algorithm
16%
Engineering
Computational Complexity
100%
Constraint Length
14%
Convolutional Code
14%
Decoding Algorithm
100%
Decoding Complexity
14%
Information Bit
28%
Maximum Likelihood
100%
Metrics
14%
Nodes
28%
Sequential Decoding
100%
Signal-to-Noise Ratio
14%
Computer Science
Computational Complexity
100%
Convolutional Code
14%
Decoding Algorithm
100%
Decoding Complexity
14%
Information Bit
28%
Information Sequence
14%
Length Information
28%
maximum-likelihood
100%
Noise-to-Signal Ratio
14%
Sequential Search
42%
Threshold Level
14%
Viterbi Algorithm
14%
Mathematics
Convolutional Code
14%
Decoding Algorithm
100%
Maximum Likelihood
100%
Noise Ratio
14%
Threshold Level
14%
Viterbi Algorithm
14%