Results 11 to 20 of about 306,586 (334)
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
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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
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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
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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). This LP decoder can be used to decode error-correcting codes at bit-error-rates comparable to state-of-the-art belief propagation (BP) decoders, but with significantly stronger ...
Barman, Siddharth +3 more
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Adaptive Methods for Linear Programming Decoding [PDF]
IEEE Transactions on Information Theory, 2008 22 pages, 8 figures.
Taghavi, Mohammad H., Siegel, Paul H.
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Research on Low-complexity Decoding Method in Massive Antenna System [PDF]
Jisuanji gongcheng, 2017 In massive antenna system,the computational complexities of linear channel estimation and linear decoding are higher.Aiming at this problem,two low-complexity decoding methods are proposed according to the characteristics of massive antenna system.A fast
ZHENG Xianxia,WANG Haiquan,LI Fei,YING Mengyun,ZHOU Meijun
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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
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Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation [PDF]
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019 The Encoder-Decoder architecture is a main stream deep learning model for biomedical image segmentation. The encoder fully compresses the input and generates encoded features, and the decoder then produces dense predictions using encoded features. However, decoders are still under-explored in such architectures.
Liang, Peixian +5 more
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Decoding Methods in Neural Language Generation: A Survey
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
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Decoding NGC 628 with radiative transfer methods [PDF]
Monthly Notices of the Royal Astronomical Society, 2022 ABSTRACT We present an axi-symmetric model for the ultraviolet (UV)-to-submillimetre (submm) images of the nearly face-on spiral galaxy NGC 628. It was calculated using a radiative transfer (RT) code, accounting for the absorption and re-emission of starlight by dust in the interstellar medium of this galaxy.
Rushton, Mark +4 more
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