Results 11 to 20 of about 60,061 (259)
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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IEICE ESS Fundamentals Review, 2011 誤り訂正符号の代数的復号法の一つであるユークリッド復号法について解説する．ユークリッド復号法はBCH符号やRS 符号の強力な復号法として知られ，数多くの適用例がある．まず，1950 年代に始まった誤り訂正符号の構成法の研究と，1960 年代から1970 年代にかけての復号法の研究の歴史をたどり，ユークリッド復号法の位置付けを行う．次に，ユークリッド復号法の概要を紹介する．最後に，この復号法発見に至る筆者らの当時の環境や様子を，研究者の立場から経験談に私見を交えながら述べる．
Shigeichi HIRASAWA, Masao KASAHARA
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Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models
Engineering, 2019 Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspects of visual perception neuroscience. Although previous researchers have made significant advances in brain encoding and decoding models, existing methods
Changde Du +3 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.
Gorka Muñoz-Gil +33 more
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SC-Fano Decoding of Polar Codes
IEEE Access, 2019 For finite-length polar codes, the standard successive cancellation (SC) decoding has been improved, such as SC-List (SCL), SC-Stack (SCS), and SC-Flip (SCF) decodings.
Min-Oh Jeong, Song-Nam Hong
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Frontiers in Neuroscience, 2022 Edge detection is of great importance to the middle and high-level vision task in computer vision, and it is useful to improve its performance. This paper is different from previous edge detection methods designed only for decoding networks. We propose a
Zhenguang Zhang +3 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.
DeLucia, Alexandra +3 more
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Discrete Polar Decoder using Information Bottleneck Method [PDF]
ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020 Polar code is one of the channel codes and is used in the 5th generation of mobile communication system (5G). This encoding scheme is based on the operation of channel polarization, and it is possible to achieve the capacity of arbitrary binary-input symmetric discrete memoryless channels.
Akira Yamada, Tomoaki Ohtsuki
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TEXT COMPRESSION ALGORITHMS - A COMPARATIVE STUDY [PDF]
ICTACT Journal on Communication Technology, 2011 Data Compression may be defined as the science and art of the representation of information in a crisply condensed form. For decades, Data compression has been one of the critical enabling technologies for the ongoing digital multimedia revolution. There
S. Senthil, L. Robert
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DIR-Net: Deep Residual Polar Decoding Network Based on Information Refinement
Entropy, 2022 Polar codes are closer to the Shannon limit with lower complexity in coding and decoding. As traditional decoding techniques suffer from high latency and low throughput, with the development of deep learning technology, some deep learning-based decoding ...
Bixue Song, Yongxin Feng, Yang Wang
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