Results 1 to 10 of about 483,886 (315)
Are Guessing, Source Coding and Tasks Partitioning Birds of A Feather? [PDF]
Entropy, 2022 This paper establishes a close relationship among the four information theoretic problems, namely Campbell source coding, Arikan guessing, Huleihel et al.
M. Ashok Kumar +4 more
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IEEE Open Journal of the Communications Society, 2022 A major bottleneck in distributed learning is the communication overhead of exchanging intermediate model update parameters between the worker nodes and the parameter server.
Naifu Zhang, Meixia Tao
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Binary Quantization Analysis of Neural Networks Weights on MNIST Dataset
Elektronika ir Elektrotechnika, 2021 This paper considers the design of a binary scalar quantizer of Laplacian source and its application in compressed neural networks. The quantizer performance is investigated in a wide dynamic range of data variances, and for that purpose, we derive novel
Zoran H. Peric +4 more
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The Compression Optimality of Asymmetric Numeral Systems
Entropy, 2023 Source coding has a rich and long history. However, a recent explosion of multimedia Internet applications (such as teleconferencing and video streaming, for instance) renews interest in fast compression that also squeezes out as much redundancy as ...
Josef Pieprzyk +5 more
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IEEE Journal of Microwaves, 2022 Modern sensor networks—those used for autonomous driving, security systems, human motion tracking, or smart city/smart factory applications—are shifting to a more centralized data processing approach to enable efficient multimodal ...
Georg Korner +7 more
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Coding in Diffusion-Based Molecular Nanonetworks: A Comprehensive Survey
IEEE Access, 2023 Diffusion-based molecular nanonetworks exploit the diffusion of molecules, e.g., in free space or in blood vessels, for the purpose of communication. This article comprehensively surveys coding approaches for communication in diffusion-based molecular ...
Pit Hofmann +4 more
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Utility–Privacy Trade-Offs with Limited Leakage for Encoder
Entropy, 2023 The utilization of databases such as IoT has progressed, and understanding how to protect the privacy of data is an important issue. As pioneering work, in 1983, Yamamoto assumed the source (database), which consists of public information and private ...
Naruki Shinohara, Hideki Yagi
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Average Redundancy for Known Sources: Ubiquitous Trees in Source Coding [PDF]
Discrete Mathematics & Theoretical Computer Science, 2008 Analytic information theory aims at studying problems of information theory using analytic techniques of computer science and combinatorics. Following Hadamard's precept, these problems are tackled by complex analysis methods such as generating functions,
Wojciech Szpankowski
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Hyperspectral Pansharpening Based on Homomorphic Filtering and Weighted Tensor Matrix
Remote Sensing, 2019 Hyperspectral pansharpening is an effective technique to obtain a high spatial resolution hyperspectral (HS) image. In this paper, a new hyperspectral pansharpening algorithm based on homomorphic filtering and weighted tensor matrix (HFWT) is proposed ...
Jiahui Qu +4 more
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Structure Tensor-Based Algorithm for Hyperspectral and Panchromatic Images Fusion
Remote Sensing, 2018 Restricted by technical and budget constraints, hyperspectral (HS) image which contains abundant spectral information generally has low spatial resolution. Fusion of hyperspectral and panchromatic (PAN) images can merge spectral information of the former
Jiahui Qu +5 more
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