Results 21 to 30 of about 10,040,691 (372)
Nonlinear Transform Source-Channel Coding for Semantic Communications [PDF]
IEEE Journal on Selected Areas in Communications, 2021 In this paper, we propose a class of high-efficiency deep joint source-channel coding methods that can closely adapt to the source distribution under the nonlinear transform, it can be collected under the name nonlinear transform source-channel coding ...
Jincheng Dai +6 more
semanticscholar +1 more source
Deep Joint Source-Channel Coding for Semantic Communications [PDF]
IEEE Communications Magazine, 2022 Semantic communications is considered a promising technology that will increase the efficiency of next-generation communication systems, particularly human-machine and machine-type communications.
Jia-lin Xu +5 more
semanticscholar +1 more source
Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2020 Recent research on joint source channel coding (JSCC) for wireless communications has achieved great success owing to the employment of deep learning (DL). However, the existing work on DL based JSCC usually trains the designed network to operate under a
Jia-lin Xu +5 more
semanticscholar +1 more source
Deep Joint Source-channel Coding for Wireless Image Transmission [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 We propose a novel joint source and channel coding (JSCC) scheme for wireless image transmission that departs from the conventional use of explicit source and channel codes for compression and error correction, and directly maps the image pixel values to
Eirina Bourtsoulatze +2 more
semanticscholar +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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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Improved Bounds on Lossless Source Coding and Guessing Moments via Rényi Measures [PDF]
IEEE Transactions on Information Theory, 2018 This paper provides upper and lower bounds on the optimal guessing moments of a random variable taking values on a finite set when side information may be available.
I. Sason, S. Verdú
semanticscholar +1 more source
Timely Lossless Source Coding for Randomly Arriving Symbols [PDF]
Information Theory Workshop, 2018 We consider a real-time streaming source coding system in which an encoder observes a sequence of randomly arriving symbols from an i.i.d. source, and feeds binary code-words to a FIFO buffer that outputs one bit per time unit to a decoder.
Jing Zhong, R. Yates, E. Soljanin
semanticscholar +1 more source
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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