Results 1 to 10 of about 292,790 (291)
Decomposition Methods for Large Scale LP Decoding [PDF]
2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2011 When binary linear error-correcting codes are used over symmetric channels, a relaxed version of the maximum likelihood decoding problem can be stated as a linear program (LP).
Barman, Siddharth +3 more
core +13 more sources
Decoding Methods in Neural Language Generation: A Survey [PDF]
Information, 2021 Neural encoder-decoder models for language generation can be trained to predict words directly from linguistic or non-linguistic inputs. When generating with these so-called end-to-end models, however, the NLG system needs an additional decoding ...
Sina Zarrieß +2 more
doaj +6 more sources
Three Efficient All-Erasure Decoding Methods for Blaum–Roth Codes [PDF]
Entropy, 2022 Blaum–Roth Codes are binary maximum distance separable (MDS) array codes over the binary quotient ring F2[x]/(Mp(x)), where Mp(x)=1+x+⋯+xp−1, and p is a prime number.
Weijie Zhou, Hanxu Hou
doaj +2 more sources
New Rotor Position Redundancy Decoding Method Based on Resolver Decoder
Micromachines, 2022 In view of the frequent safety problems of electric vehicles, the research on accurately obtaining the rotor position of the motor through the resolver is an important means to improve the functional safety of the system.
Anbo Yu +5 more
doaj +4 more sources
Assessing the information content of ERP signals in schizophrenia using multivariate decoding methods [PDF]
NeuroImage: Clinical, 2020 Multivariate pattern classification (decoding) methods are commonly employed to study mechanisms of neurocognitive processing in typical individuals, where they can be used to quantify the information that is present in single-participant neural signals.
Gi-Yeul Bae +4 more
doaj +2 more sources
Deep Learning Methods for Improved Decoding of Linear Codes [PDF]
, 2018 The problem of low complexity, close to optimal, channel decoding of linear codes with short to moderate block length is considered. It is shown that deep learning methods can be used to improve a standard belief propagation decoder, despite the large ...
Beery, Yair +5 more
core +2 more sources
Sequencing methods and functional decoding of mRNA modifications
Fundamental Research, 2023 More than 160 types of post-transcriptional RNA modifications have been reported; there is substantial variation in modification type, abundance, site, and function across species, tissues, and RNA type.
Kai Li, Jinying Peng, Chengqi Yi
doaj +3 more sources
Decoding methods for neural prostheses: where have we reached? [PDF]
Frontiers in Systems Neuroscience, 2014 This article reviews advances in decoding methods for brain-machine interfaces. Recent work has focused on practical considerations for future clinical deployment of prosthetics.
Zheng eLi, Zheng eLi
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A primer on regression methods for decoding cis-regulatory logic. [PDF]
PLoS Computational Biology, 2009 Debopriya Das +2 more
doaj +3 more sources
A comprehensive review on motion trajectory reconstruction for EEG-based brain-computer interface
Frontiers in Neuroscience, 2023 The advance in neuroscience and computer technology over the past decades have made brain-computer interface (BCI) a most promising area of neurorehabilitation and neurophysiology research.
Pengpai Wang +6 more
doaj +1 more source