Results 11 to 20 of about 279,804 (305)
Adaptive Methods for Linear Programming Decoding [PDF]
IEEE Transactions on Information Theory, 2008 22 pages, 8 figures.
Paul H. Siegel, Mohammad H. Taghavi
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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 ...
Eliya Nachmani +5 more
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Objective comparison of methods to decode anomalous diffusion [PDF]
Nature Communications, 2021 AbstractDeviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion from the measurement of an individual trajectory is a challenging task, which traditionally relies on calculating the trajectory mean squared displacement.
Diego Krapf +37 more
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Tensor-powered insights into neural dynamics [PDF]
Communications BiologyThe complex spatiotemporal dynamics of neurons encompass a wealth of information relevant to perception and decision-making, making the decoding of neural activity a central focus in neuroscience research.
Boyang Zang +5 more
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Decoding Methods for Neural Narrative Generation [PDF]
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), 2021 Narrative generation is an open-ended NLP task in which a model generates a story given a prompt. The task is similar to neural response generation for chatbots; however, innovations in response generation are often not applied to narrative generation, despite the similarity between these tasks.
Aaron Mueller +3 more
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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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A Novel Decoding Method for the Erasure Codes [PDF]
Security and Communication Networks, 2021 The erasure codes are widely used in the distributed storage with low redundancy compared to the replication method. However, the current research studies about the erasure codes mainly focus on the encoding methods, while there are few studies on the decoding methods. In this paper, a novel erasure decoding method is proposed; it is a general decoding
Dan Tang, Hongliang Cai
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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.
Danny Z. Chen +5 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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Bidirectional stack decoding of polar codes [PDF]
Vojnotehnički Glasnik, 2021 Introduction/purpose: The paper introduces a reduced latency stack decoding algorithm of polar codes, inspired by the bidirectional stack decoding of convolutional codes and based on the folding technique.
Aleksandar Đ. Minja +2 more
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