Results 261 to 270 of about 19,174 (291)
Enabling Auto-Correction on Soft Braille Keyboard. [PDF]
Proc ACM Symp User Interface Softw TechZhang D +6 more
europepmc +1 more source
Educational pathways and outcomes for care‐experienced children: A 16‐year longitudinal study
British Educational Research Journal, EarlyView.Abstract Children who are removed from their birth families during childhood—termed care‐experienced—can be at risk for lower educational attainment and poorer school experiences, often linked to deprivation and behavioural factors. However, research often uses aggregated measures that obscure the complexities of care (e.g.
Emily Lowthian +9 more
wiley +1 more source
A common framework for semantic memory and semantic composition. [PDF]
Imaging Neurosci (Camb)Law RMC, Lambon Ralph MA, Hauk O.
europepmc +1 more source
Realization of High-Reliable Coherent-State Quantum Secure Communication. [PDF]
Research (Wash D C)Chen X +5 more
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On List Sequence Turbo Decoding
IEEE Transactions on Communications, 2005 An algorithm for decoding Turbo codes that combines conventional Turbo decoding and list sequence maximum a posteriori probability decoding is presented and evaluated. Compared to previous results on this theme, performance improvements in the order of 0.
C -E W Sundberg
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List Decoding of Insertions and Deletions [PDF]
IEEE Transactions on Information Theory, 2018 List decoding of insertions and deletions in the Levenshtein metric is considered. The Levenshtein distance between two sequences is the minimum number of insertions and deletions needed to turn one of the sequences into the other. In this paper, a Johnson-like upper bound on the maximum list size when list decoding in the Levenshtein metric is derived.
Antonia Wachter-Zeh
exaly +3 more sources
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2015 IEEE International Symposium on Information Theory (ISIT), 2015
The setup of a general channel is considered in the mismatched case, i.e., when the decoder uses a general decoding metric. An expression for the average error probability in list decoding with block length n, metric q n , list size enΘn and rate R, denoted e(n) qn (R, Θ n ), is established.
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The setup of a general channel is considered in the mismatched case, i.e., when the decoder uses a general decoding metric. An expression for the average error probability in list decoding with block length n, metric q n , list size enΘn and rate R, denoted e(n) qn (R, Θ n ), is established.
openaire +1 more source
IEEE Transactions on Communications, 1998
Summary: List decoding of turbo codes is analyzed under the assumption of a maximum-likelihood (ML) list decoder. It is shown that large asymptotic gains can be achieved on both the additive white Gaussian noise and fully interleaved flat Rayleigh-fading channels. It is also shown that the relative asymptotic gains for turbo codes are larger than those
K R Narayanan, G L Stüber
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Summary: List decoding of turbo codes is analyzed under the assumption of a maximum-likelihood (ML) list decoder. It is shown that large asymptotic gains can be achieved on both the additive white Gaussian noise and fully interleaved flat Rayleigh-fading channels. It is also shown that the relative asymptotic gains for turbo codes are larger than those
K R Narayanan, G L Stüber
exaly +2 more sources
Combinatorial bounds for list decoding
IEEE Transactions on Information Theory, 2002Summary: Informally, an error-correcting code has ``nice'' list-decodability properties if every Hamming ball of ``large'' radius has a ``small'' number of codewords in it. We report linear codes with nontrivial list-decodability: i.e., codes of large rate that are nicely list-decodable, and codes of large distance that are not nicely list-decodable ...
Venkatesan Guruswami +3 more
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A List-Decodable Code with Local Encoding and Decoding
Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks (SNPD/SAWN'05), 2005Guruswamy and Indyk (2004) have shown that there exists an error-correcting code for which list-decoding from a (1-/spl epsi/) fraction of errors can be done in linear time. We present a binary code for which list-decoding from a (1/2-/spl epsi/) fraction of errors can be done in polylog time. The size of the list of candidates for the correct codeword
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