Výsledky vyhledávání - "Joint source-channel coding"

Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications Autor Gunduz, Deniz, Qin, Zhijin, Aguerri, Inaki Estella, Dhillon, Harpreet S., Yang, Zhaohui, Yener, Aylin, Wong, Kai Kit, Chae, Chan-Byoung

“…Communication systems to date primarily aim at reliably communicating bit sequences. Such an approach provides efficient engineering designs that are agnostic…”
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Deep Source-Channel Coding for Sentence Semantic Transmission With HARQ Autor Jiang, Peiwen, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

“…Recently, semantic communication has been brought to the forefront because deep learning (DL)-based methods, such as Transformer, have achieved great success…”
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Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs Autor Gunduz, Deniz, Wigger, Michele A., Tung, Tze-Yang, Zhang, Ping, Xiao, Yong

“…Semantic-and task-oriented communication has emerged as a promising approach to reducing the latency and bandwidth requirements of the next-generation mobile…”
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Bandwidth-Agile Image Transmission With Deep Joint Source-Channel Coding Autor Kurka, David Burth, Gunduz, Deniz

“…We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels. We consider the scenario in which…”
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Nonlinear Transform Source-Channel Coding for Semantic Communications Autor Dai, Jincheng, Wang, Sixian, Tan, Kailin, Si, Zhongwei, Qin, Xiaoqi, Niu, Kai, Zhang, Ping

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

“…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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Wireless Deep Video Semantic Transmission Autor Wang, Sixian, Dai, Jincheng, Liang, Zijian, Niu, Kai, Si, Zhongwei, Dong, Chao, Qin, Xiaoqi, Zhang, Ping

“…In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to achieve end-to-end video transmission over wireless…”
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Wireless Image Retrieval at the Edge Autor Jankowski, Mikolaj, Gunduz, Deniz, Mikolajczyk, Krystian

“…We study the image retrieval problem at the wireless edge, where an edge device captures an image, which is then used to retrieve similar images from an edge…”
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Predictive and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication Autor Zhang, Wenyu, Zhang, Haijun, Ma, Hui, Shao, Hua, Wang, Ning, Leung, Victor C. M.

“…Semantic communication is a newly emerged communication paradigm that exploits deep learning (DL) models to realize communication processes like source coding…”
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Generative Joint Source-Channel Coding for Semantic Image Transmission Autor Erdemir, Ecenaz, Tung, Tze-Yang, Dragotti, Pier Luigi, Gunduz, Deniz

“…Recent works have shown that joint source-channel coding (JSCC) schemes using deep neural networks (DNNs), called DeepJSCC, provide promising results in…”
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Machine Learning in the Air Autor Gunduz, Deniz, de Kerret, Paul, Sidiropoulos, Nicholas D., Gesbert, David, Murthy, Chandra R., van der Schaar, Mihaela

“…Thanks to the recent advances in processing speed, data acquisition and storage, machine learning (ML) is penetrating every facet of our lives, and…”
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CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications Autor Wu, Tong, Chen, Zhiyong, He, Dazhi, Qian, Liang, Xu, Yin, Tao, Meixia, Zhang, Wenjun

“…Diffusion models (DM) can gradually learn to remove noise, which have been widely used in artificial intelligence generated content (AIGC) in recent years. The…”
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Robust Information Bottleneck for Task-Oriented Communication With Digital Modulation Autor Xie, Songjie, Ma, Shuai, Ding, Ming, Shi, Yuanming, Tang, Mingjian, Wu, Youlong

“…Task-oriented communications, mostly using learning-based joint source-channel coding (JSCC), aim to design a communication-efficient edge inference system by…”
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Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power Autor Eswaran, Krishnan, Gastpar, Michael

“…The distributed remote source coding (the so-called CEO) problem is studied in the case where the underlying source, not necessarily Gaussian, has finite…”
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SeSy: Enhancing Communication System Reliability through Image-Based Semantic Synchronization Autor Liu, Xiaoyi, Dong, Chen, Liang, Haotai, Jiang, Hongchao, Xu, Xiaodong, Zhang, Ping

“…Semantic communication has emerged as a promising paradigm exhibiting improved robustness compared to traditional approaches under low SNR conditions. Precise…”
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Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders Autor Saidutta, Yashas Malur, Abdi, Afshin, Fekri, Faramarz

“…In this paper, we present a learning scheme for Joint Source-Channel Coding (JSCC) over analog independent additive noise channels. We formulate the learning…”
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MDJSCC: Multiscale Feature Learning-Based Semantic Communications for Maritime Vessel Networks Autor Li, Shibao, Wang, Xinkun, Li, Dongyang, Wang, Chongyang, Meng, Zihan, Zhu, Jinze, Li, Lianghai

“…Maritime vessel networks face critical communication challenges due to severe signal attenuation induced by dynamic oceanic conditions, including vessel…”
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DeepWiVe: Deep-Learning-Aided Wireless Video Transmission Autor Tung, Tze-Yang, Gunduz, Deniz

“…We present DeepWiVe , the first-ever end-to-end joint source-channel coding (JSCC) video transmission scheme that leverages the power of deep neural networks…”
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Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning Over Noisy Channels Autor Tung, Tze-Yang, Kobus, Szymon, Roig, Joan Pujol, Gunduz, Deniz

“…We propose a novel formulation of the "effectiveness problem" in communications, put forth by Shannon and Weaver in their seminal work " The Mathematical…”
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Transformer-Aided Wireless Image Transmission With Channel Feedback Autor Wu, Haotian, Shao, Yulin, Ozfatura, Emre, Mikolajczyk, Krystian, Gunduz, Deniz

“…This paper presents a novel wireless image transmission paradigm that can exploit feedback from the receiver, called JSCCformer-f. We consider a block feedback…”
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