Výsledky vyhledávání - Sparse random network coding

  1. 1

    Reliability of Broadcast Communications Under Sparse Random Linear Network Coding Autor Brown, Suzie, Johnson, Oliver, Tassi, Andrea

    ISSN: 0018-9545, 1939-9359
    Vydáno: New York IEEE 01.05.2018
    “… In this regard, sparse random linear network coding techniques have been widely employed to provide an efficient way to improve the reliability of broadcast and multicast data streams…”
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    Journal Article
  2. 2

    Convolutional sparse coding‐based deep random vector functional link network for distress classification of road structures Autor Maeda, Keisuke, Takahashi, Sho, Ogawa, Takahiro, Haseyama, Miki

    ISSN: 1093-9687, 1467-8667
    Vydáno: Hoboken Wiley Subscription Services, Inc 01.08.2019
    “…This paper presents a convolutional sparse coding (CSC)‐based deep random vector functional link network (CSDRN…”
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    Journal Article
  3. 3

    On Intercept Probability Minimization Under Sparse Random Linear Network Coding Autor Tassi, Andrea, Piechocki, Robert J., Nix, Andrew

    ISSN: 0018-9545, 1939-9359
    Vydáno: New York IEEE 01.06.2019
    “… The transmitter secures its transmissions employing a sparse implementation of random linear network coding (RLNC…”
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    Journal Article
  4. 4

    Analysis and Optimization of Sparse Random Linear Network Coding for Reliable Multicast Services Autor Tassi, Andrea, Chatzigeorgiou, Ioannis, Lucani, Daniel E.

    ISSN: 0090-6778, 1558-0857
    Vydáno: New York IEEE 01.01.2016
    Vydáno v IEEE transactions on communications (01.01.2016)
    “… Reliability of communications is ensured via different random linear network coding (RLNC) techniques. We deal with a fundamental problem…”
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    Journal Article
  5. 5

    A Homomorphism Transform Based Analysis of Sparse Random Linear Network Coding Over Erasure Channels Autor Chen, Wenlin, Lu, Fang, Dong, Yan

    ISSN: 1089-7798, 1558-2558
    Vydáno: New York IEEE 01.09.2022
    Vydáno v IEEE communications letters (01.09.2022)
    “…In this letter, we provide a method for deriving the first exact expression for the decoding success probability of sparse random linear network coding over erasure channels…”
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    Journal Article
  6. 6

    Improved Expression for Rank Distribution of Sparse Random Linear Network Coding Autor Chen, Wenlin, Lu, Fang, Dong, Yan

    ISSN: 1089-7798, 1558-2558
    Vydáno: New York IEEE 01.05.2021
    Vydáno v IEEE communications letters (01.05.2021)
    “…Characterization of the rank distribution of a sparse random matrix over a finite field can be decomposed into two subproblems…”
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    Journal Article
  7. 7

    Sparse Random Linear Network Coding With Precoded Band Codes Autor Li, Ye, Zhu, Jun, Bao, Zhihua

    ISSN: 1089-7798
    Vydáno: IEEE 01.03.2017
    Vydáno v IEEE communications letters (01.03.2017)
    “…This letter proposes a sparse network code based on band matrices for lossy networks…”
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    Journal Article
  8. 8

    The Rank Distribution of Sparse Random Linear Network Coding Autor Chen, Wenlin, Lu, Fang, Dong, Yan

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2019
    Vydáno v IEEE access (2019)
    “…Sparse random linear network coding (SRLNC) is a promising solution for reducing the complexity of random linear network coding (RLNC…”
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    Journal Article
  9. 9

    An Analytical Model for the Partial Intercept Probability in Sparse Linear Network Coding Autor Sehat, Hadi, Pahlevani, Peyman

    ISSN: 1089-7798, 1558-2558
    Vydáno: New York IEEE 01.04.2020
    Vydáno v IEEE communications letters (01.04.2020)
    “…) and Sparse Random Linear Network Coding (SRLNC) is an important performance metric. One of the security aspects of these coding schemes is the probability that a potential eavesdropper recovers a fraction of source packets…”
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  10. 10

    An Analytical Model for Rank Distribution in Sparse Network Coding Autor Sehat, Hadi, Pahlevani, Peyman

    ISSN: 1089-7798, 1558-2558
    Vydáno: New York IEEE 01.04.2019
    Vydáno v IEEE communications letters (01.04.2019)
    “…Random linear network coding is a promising coding scheme to increase the robustness and reliability of network systems…”
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    Journal Article
  11. 11

    Singularity Probability Analysis for Sparse Random Linear Network Coding Autor Xiaolin Li, Wai Ho Mow, Fai-Lung Tsang

    ISBN: 9781612842325, 1612842321
    ISSN: 1550-3607
    Vydáno: IEEE 01.06.2011
    “…Motivated by the noncoherent subspace coding approach and the low-complexity sparse coding approach to realize random linear network coding, we consider the problem of characterizing the probability…”
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  12. 12

    Sparse Random Linear Network Coding For Low Latency Allcast Autor Graham, Mark A., Ganesh, Ayalvadi, Piechocki, Robert J.

    Vydáno: IEEE 01.09.2019
    “… We model slow fading using random graphs, and show that an allcast method based on sparse random linear network coding can achieve reliable allcast in a constant number of transmission rounds. We compare this with an uncoded baseline, which we show requires O(log(n)) transmission rounds. We justify and compare our analysis with extensive simulations…”
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  13. 13

    Reliability of Broadcast Communications Under Sparse Random Linear Network Coding Autor Brown, Suzie, Johnson, Oliver, Tassi, Andrea

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 18.10.2018
    Vydáno v arXiv.org (18.10.2018)
    “… In this regard, sparse Random Linear Network Coding (RLNC) techniques have been widely employed to provide an efficient way to improve the reliability of broadcast and multicast data streams…”
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    Paper
  14. 14

    Exploiting sparse coding: A sliding window enhancement of a random linear network coding scheme Autor Garrido, Pablo, Gomez, David, Lanza, Jorge, Aguero, Ramon

    ISSN: 1938-1883
    Vydáno: IEEE 01.05.2016
    “…Random Linear Network Coding (RLNC) is a technique that provides several benefits…”
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    Konferenční příspěvek Journal Article
  15. 15

    Sparse random linear network coding for data compression in WSNs Autor Wenjie Li, Bassi, Francesca, Kieffer, Michel

    ISSN: 2157-8117
    Vydáno: IEEE 01.07.2016
    “…This paper addresses the information theoretical analysis of data compression achieved by random linear network coding in wireless sensor networks…”
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    Konferenční příspěvek Journal Article
  16. 16

    Exact Decoding Probability of Sparse Random Linear Network Coding for Reliable Multicast Autor Chen, WenLin, Lu, Fang, Dong, Yan

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 26.08.2021
    Vydáno v arXiv.org (26.08.2021)
    “…Sparse random linear network coding (SRLNC) used as a class of erasure codes to ensure the reliability of multicast communications has been widely investigated…”
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    Paper
  17. 17

    The combination of sparse learning and list decoding of subspace codes for error correction in random network coding Autor Zhang, Guangzhi, Cai, Shaobin, Zhang, Dongqiu, Shu, Wanneng, Ma, Chunhua, Niu, Mu, Ding, Xiangnan

    ISSN: 1687-1499, 1687-1472, 1687-1499
    Vydáno: Cham Springer International Publishing 27.03.2018
    “…The network coding can spread a single original error over the whole network. The simulation shows that the propagated error mostly all the time pollute just 100…”
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    Journal Article
  18. 18

    On Intercept Probability Minimization under Sparse Random Linear Network Coding Autor Tassi, Andrea, Piechocki, Robert J, Nix, Andrew

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 04.03.2019
    Vydáno v arXiv.org (04.03.2019)
    “… The transmitter secures its transmissions employing a sparse implementation of Random Linear Network Coding (RLNC…”
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    Paper
  19. 19

    The Decoding Success Probability of Sparse Random Linear Network Coding for Multicast Autor Chen, Wenlin, Lu, Fang, Dong, Yan

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 12.10.2020
    Vydáno v arXiv.org (12.10.2020)
    “… Sparse random linear network coding approach used to ensure the reliability of multicast communication has been widely investigated…”
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    Paper
  20. 20

    Rank Distribution Analysis for Sparse Random Linear Network Coding Autor Xiaolin Li, Wai Ho Mow, Fai-Lung Tsang

    ISBN: 1612841384, 9781612841380
    ISSN: 2374-9660
    Vydáno: IEEE 01.07.2011
    “…In this paper, the decoding failure probability for sparse random linear network coding in a probabilistic network model is analyzed…”
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