Search Results - "Source coding"

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  1. 1

    Vector Gaussian CEO Problem Under Logarithmic Loss and Applications by Ugur, Yigit, Aguerri, Inaki Estella, Zaidi, Abdellatif

    ISSN: 0018-9448, 1557-9654
    Published: New York IEEE 01.07.2020
    Published in IEEE transactions on information theory (01.07.2020)
    “…In this paper, we study the vector Gaussian Chief Executive Officer (CEO) problem under logarithmic loss distortion measure. Specifically, <inline-formula>…”
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  2. 2

    Strong Functional Representation Lemma and Applications to Coding Theorems by Li, Cheuk Ting, Gamal, Abbas El

    ISSN: 0018-9448, 1557-9654
    Published: New York IEEE 01.11.2018
    Published in IEEE transactions on information theory (01.11.2018)
    “…This paper shows that for any random variables <inline-formula> <tex-math notation="LaTeX">X </tex-math></inline-formula> and <inline-formula> <tex-math…”
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  3. 3

    Collaborative Information Bottleneck by Vera, Matias, Rey Vega, Leonardo, Piantanida, Pablo

    ISSN: 0018-9448, 1557-9654
    Published: New York IEEE 01.02.2019
    Published in IEEE transactions on information theory (01.02.2019)
    “…This paper investigates a multi-terminal source coding problem under a logarithmic loss fidelity which does not necessarily lead to an additive distortion…”
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  4. 4

    D²-JSCC: Digital Deep Joint Source-Channel Coding for Semantic Communications by Huang, Jianhao, Yuan, Kai, Huang, Chuan, Huang, Kaibin

    ISSN: 0733-8716, 1558-0008
    Published: New York IEEE 01.04.2025
    “…Semantic communications (SemCom) have emerged as a new paradigm for supporting sixth-generation applications, where semantic features of data are transmitted…”
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  5. 5

    Optimal Lossless Data Compression: Non-Asymptotics and Asymptotics by Kontoyiannis, Ioannis, Verdu, Sergio

    ISSN: 0018-9448, 1557-9654
    Published: New York, NY IEEE 01.02.2014
    Published in IEEE transactions on information theory (01.02.2014)
    “…This paper provides an extensive study of the behavior of the best achievable rate (and other related fundamental limits) in variable-length strictly lossless…”
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  6. 6

    The Gaussian Scalar-Help-Vector Listening-Helper Source Coding Problem by Bross, Shraga I.

    ISSN: 0090-6778, 1558-0857
    Published: IEEE 2025
    “…A memoryless vector Gaussian source is encoded cooperatively by two parties: An encoder which forms its description upon observing the source and a helper…”
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  7. 7

    Revisiting Distributed Source Coding for Expedited Downlink Transmission in Coded Edge Computing by Hu, Rong, He, Xiaofan, Dai, Huaiyu

    ISSN: 1536-1276, 1558-2248
    Published: IEEE 2025
    “…While the recently advocated coded edge computing paradigm is promising for mitigating the unfavorable latency caused by the straggling edge nodes (ENs) in…”
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  8. 8

    Gaussian Approximation of Quantization Error for Estimation From Compressed Data by Kipnis, Alon, Reeves, Galen

    ISSN: 0018-9448, 1557-9654
    Published: New York IEEE 01.08.2021
    Published in IEEE transactions on information theory (01.08.2021)
    “…We consider the distributional connection between the lossy compressed representation of a high-dimensional signal <inline-formula> <tex-math…”
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  9. 9

    Information-Theoretic Caching: The Multi-User Case by Sung Hoon Lim, Chien-Yi Wang, Gastpar, Michael

    ISSN: 0018-9448, 1557-9654
    Published: New York IEEE 01.11.2017
    Published in IEEE transactions on information theory (01.11.2017)
    “…In this paper, we consider a cache aided network in which each user is assumed to have individual caches, while upon users' requests, an update message is sent…”
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  10. 10

    On Universal D-Semifaithful Coding for Memoryless Sources With Infinite Alphabets by Silva, Jorge F., Piantanida, Pablo

    ISSN: 0018-9448, 1557-9654
    Published: New York IEEE 01.04.2022
    Published in IEEE transactions on information theory (01.04.2022)
    “…The problem of variable length and fixed-distortion universal source coding (or D-semifaithful source coding) for stationary and memoryless sources on…”
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  11. 11

    Selective Encoding Policies for Maximizing Information Freshness by Bastopcu, Melih, Buyukates, Baturalp, Ulukus, Sennur

    ISSN: 0090-6778, 1558-0857
    Published: New York IEEE 01.09.2021
    Published in IEEE transactions on communications (01.09.2021)
    “…An information source generates independent and identically distributed status update messages from an observed random phenomenon which takes <inline-formula>…”
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  12. 12

    Distributed Binary Detection With Lossy Data Compression by Katz, Gil, Piantanida, Pablo, Debbah, Merouane

    ISSN: 0018-9448, 1557-9654
    Published: New York IEEE 01.08.2017
    Published in IEEE transactions on information theory (01.08.2017)
    “…Consider the problem where a statistician in a two-node system receives rate-limited information from a transmitter about marginal observations of a memoryless…”
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  13. 13

    Semantic Filtering and Source Coding in Distributed Wireless Monitoring Systems by Agheli, Pouya, Pappas, Nikolaos, Kountouris, Marios

    ISSN: 0090-6778, 1558-0857, 1558-0857
    Published: New York IEEE 01.06.2024
    Published in IEEE transactions on communications (01.06.2024)
    “…The problem of goal-oriented semantic filtering and timely source coding in multiuser communication systems is considered here. We study a distributed…”
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  14. 14

    Multiterminal Source Coding Under Logarithmic Loss by Courtade, Thomas A., Weissman, Tsachy

    ISSN: 0018-9448, 1557-9654
    Published: New York, NY IEEE 01.01.2014
    Published in IEEE transactions on information theory (01.01.2014)
    “…We consider the classical two-encoder multiterminal source coding problem where distortion is measured under logarithmic loss. We provide a single-letter…”
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  15. 15

    Fixed-Length Lossy Compression in the Finite Blocklength Regime by Kostina, Victoria, Verdu, S.

    ISSN: 0018-9448, 1557-9654
    Published: New York IEEE 01.06.2012
    Published in IEEE transactions on information theory (01.06.2012)
    “…This paper studies the minimum achievable source coding rate as a function of blocklength n and probability ϵ that the distortion exceeds a given level d …”
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  16. 16

    Competitive Advantage of Huffman and Shannon-Fano Codes by Congero, Spencer, Zeger, Kenneth

    ISSN: 0018-9448, 1557-9654
    Published: IEEE 01.11.2024
    Published in IEEE transactions on information theory (01.11.2024)
    “…For any finite discrete source, the competitive advantage of prefix code <inline-formula> <tex-math notation="LaTeX">C_{1} </tex-math></inline-formula> over…”
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  17. 17

    Performance Analysis and Enhancement of P-LDPC Codes for Lossy Compression of Binary Sources by Liu, Sanya, Wu, Xinfeng, Fang, Yi, Chen, Jun, Chen, Chen, Zhou, Lin

    ISSN: 0090-6778, 1558-0857
    Published: IEEE 2025
    “…Due to the duality between source coding and channel coding, high-performance channel codes are often adopted for addressing source coding problems. In this…”
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  18. 18

    Robust Deep Joint Source-Channel Coding Enabled Distributed Image Transmission with Imperfect Channel State Information by Dong, Biao, Cao, Bin, Gui, Guan, Zhang, Qinyu

    ISSN: 1536-1276, 1558-2248
    Published: IEEE 2025
    “…This work is concerned with robust distributed multi-view image transmission over a severe fading channel with imperfect channel state information (CSI),…”
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  19. 19

    Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules by Xu, Jialong, Ai, Bo, Chen, Wei, Yang, Ang, Sun, Peng, Rodrigues, Miguel

    ISSN: 1051-8215, 1558-2205
    Published: New York IEEE 01.04.2022
    “…Recent research on joint source channel coding (JSCC) for wireless communications has achieved great success owing to the employment of deep learning (DL)…”
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  20. 20

    Block Markov Superposition Transmission of Non-uniform Q-ary Sources by Wang, Yinchu, Ma, Qianli, Mo, Zhaohao, Zheng, Xiangping, Ma, Xiao

    ISSN: 0090-6778, 1558-0857
    Published: IEEE 2025
    “…In this paper, we propose a fixed-to-fixed length coding approach to near-lossless compression by leveraging block Markov superposition transmission (BMST) of…”
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