Results 11 to 20 of about 1,562,532 (289)
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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Integer-Forcing Source Coding [PDF]
IEEE Transactions on Information Theory, 2013 Integer-Forcing (IF) is a new framework, based on compute-and-forward, for decoding multiple integer linear combinations from the output of a Gaussian multiple-input multiple-output channel.
Erez, Uri, Ordentlich, Or
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Rate-Distortion Analysis of Distributed Indirect Source Coding [PDF]
EntropyMotivated by task-oriented semantic communication and distributed learning systems, this paper studies a distributed indirect source coding problem where M correlated sources are independently encoded for a central decoder.
Jiancheng Tang, Qianqian Yang
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Generalized Forms of the Kraft Inequality for Finite-State Encoders [PDF]
EntropyWe derive a few extended versions of the Kraft inequality for information lossless finite-state encoders. The main basic contribution is in defining a notion of a Kraft matrix and in establishing the fact that a necessary condition for information ...
Neri Merhav
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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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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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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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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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