Results 1 to 10 of about 5,144,519 (372)
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding [PDF]
IEEE wireless communications, 2021 Classical communication paradigms focus on accurately transmitting bits over a noisy channel, and Shannon theory provides a fundamental theoretical limit on the rate of reliable communications.
Jincheng Dai +5 more
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Advances in Modern Channel Coding [PDF]
EntropyChannel coding has long stood at the core of reliable communications, shaping the evolution of modern information and communication systems [...]
Yongpeng Wu, Peihong Yuan
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LDGM Codes for Channel Coding and Joint Source-Channel Coding of Correlated Sources
EURASIP Journal on Advances in Signal Processing, 2005 We propose a coding scheme based on the use of systematic linear codes with low-density generator matrix (LDGM codes) for channel coding and joint source-channel coding of multiterminal correlated binary sources. In both cases, the structures of the LDGM
Javier Garcia-Frias, Wei Zhong
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Channel-Blind Joint Source–Channel Coding for Wireless Image Transmission [PDF]
SensorsJoint source–channel coding (JSCC) based on deep learning has shown significant advancements in image transmission tasks. However, previous channel-adaptive JSCC methods often rely on the signal-to-noise ratio (SNR) of the current channel for encoding ...
Hongjie Yuan +3 more
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SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding [PDF]
IEEE Transactions on Cognitive Communications and Networking, 2023 As one of the key techniques to realize semantic communications, end-to-end optimized neural joint source-channel coding (JSCC) has made great progress over the past few years.
Ke Yang +5 more
semanticscholar +1 more source
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
Joint Source-Channel Coding for Channel-Adaptive Digital Semantic Communications [PDF]
IEEE Transactions on Cognitive Communications and Networking, 2023 In this paper, we propose a novel joint source-channel coding (JSCC) approach for channel-adaptive digital semantic communications. In semantic communication systems with digital modulation and demodulation, robust design of JSCC encoder and decoder ...
Joohyuk Park +3 more
semanticscholar +1 more source
Generative Joint Source-Channel Coding for Semantic Image Transmission [PDF]
IEEE Journal on Selected Areas in Communications, 2022 Recent works have shown that joint source-channel coding (JSCC) schemes using deep neural networks (DNNs), called DeepJSCC, provide promising results in wireless image transmission.
Ece Naz Erdemir +3 more
semanticscholar +1 more source
Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic Communications [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2023 Recent deep learning methods have led to increased interest in solving high-efficiency end-to-end transmission problems. These methods, we call nonlinear transform source-channel coding (NTSCC), extract the semantic latent features of source signal, and ...
Sixian Wang +5 more
semanticscholar +1 more source
DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding [PDF]
IEEE Journal on Selected Areas in Information Theory, 2022 Recent works have shown that modern machine learning techniques can provide an alternative approach to the long-standing joint source-channel coding (JSCC) problem. Very promising initial results, superior to popular digital schemes that utilize separate
Tze-Yang Tung +3 more
semanticscholar +1 more source