Suchergebnisse - Distributed deep joint source-channel coding

Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel von Yilmaz, Selim F., Karamanli, Can, Gunduz, Deniz

“… We consider distributed image transmission over a noisy multiple access channel (MAC) using deep joint source-channel coding …”
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Robust Deep Joint Source-Channel Coding Enabled Distributed Image Transmission with Imperfect Channel State Information von Dong, Biao, Cao, Bin, Gui, Guan, Zhang, Qinyu

“… ), wherein the sources are slightly correlated. In contrast to point-to-point deep joint source-channel coding (DJSCC …”
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Distributed Image Transmission Using Deep Joint Source-Channel Coding von Wang, Sixian, Yang, Ke, Dai, Jincheng, Niu, Kai

“… We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted through a noisy independent channel to the common receiver …”
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Joint ROI Guidance and Spatial Analysis for Task-Aware Distributed Deep Joint Source-Channel Coding von Tian, Wenkai, Dong, Biao, Cao, Bin

“… In this paper, we investigate the system performance of deep joint source-channel coding (JSCC …”
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Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information von Yilmaz, Selim F., Ozyilkan, Ezgi, Gunduz, Deniz, Erkip, Elza

“… (the Wyner-Ziv scenario). In particular, we are interested in developing practical schemes using a data-driven joint source-channel coding (JSCC …”
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Distributed Audio-Visual Parsing Based On Multimodal Transformer and Deep Joint Source Channel Coding von Wang, Penghong, Li, Jiahui, Ma, Mengyao, Fan, Xiaopeng

“… ) based on multimodal transformer and deep joint source channel coding (DJSCC). Multimodal transformers are used to enhance the attention calculation between audio …”
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RDJSCC: Robust Deep Joint Source-Channel Coding Enabled Distributed Image Transmision over Severe Fading Channel von Dong, Biao, Tian, Wenkai, Cao, Bin, Wang, Yu

“… In this paper, we investigate the effects of severe channel fading in the scenario of distributed deep learning-based joint source-channel coding (DJSCC …”
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Wireless Resource Efficient Distributed Learning with Deep Joint Source-Channel Coding von Matsumura, Issa, Suto, Katsuya

“… For the remedy, this paper introduces a novel concept of distributed learning architecture that employs deep joint source-channel coding (DJSCC …”
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Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information von Yilmaz, Selim F, Ozyilkan, Ezgi, Gunduz, Deniz, Erkip, Elza

“… (the Wyner-Ziv scenario). In particular, we are interested in developing practical schemes using a data-driven joint source-channel coding (JSCC …”
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Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel von Yilmaz, Selim F, Karamanli, Can, Gunduz, Deniz

“… We consider distributed image transmission over a noisy multiple access channel (MAC) using deep joint source-channel coding …”
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Robust Deep Joint Source-Channel Coding Enabled Distributed Image Transmission with Imperfect Channel State Information von Dong, Biao, Cao, Bin, Guan Gui, Zhang, Qinyu

“… ), wherein the sources are slightly correlated. Since the signals are further distorted at the decoder, traditional distributed deep joint source-channel coding (DJSCC …”
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Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks von Saidutta, Yashas Malur, Abdi, Afshin, Fekri, Faramarz

“… In this paper, we study Joint Source-Channel Coding (JSCC) for distributed analog functional compression over both Gaussian Multiple Access Channel (MAC) and AWGN channels …”
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Distributed Image Transmission using Deep Joint Source-Channel Coding von Wang, Sixian, Yang, Ke, Dai, Jincheng, Niu, Kai

“… We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted through a noisy independent channel to the common receiver …”
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Joint Source-Channel Coding for a Multivariate Gaussian over a Gaussian MAC using Variational Domain Adaptation von Li, Yishen, Chen, Xuechen, Deng, Xiaoheng

“… ) becomes more and more significant. This study presents a deep joint source-channel coding (JSCC …”
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Content Adaptive Distributed Joint Source-Channel Coding for Image Transmission With Hyperprior von Li, Yishen, Chen, Xuechen, Deng, Xiaoheng, Gui, Jinsong

“… We study deep joint source-channel coding (JSCC) in a distributed dual-view scenario where the sources are correlated images and the channels are independent …”
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A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle von Hassanpour, Shayan, Hummert, Matthias, Wubben, Dirk, Dekorsy, Armin

“… In this article, we concentrate on a generic multiterminal joint source-channel coding scenario, appearing in a wide variety of real-world applications …”
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Distributed Semantic Communications for Multimodal Audio-Visual Parsing Tasks von Wang, Penghong, Li, Jiahui, Liu, Chen, Fan, Xiaopeng, Ma, Mengyao, Wang, Yaowei

“… We propose a distributed deep joint source-channel coding scheme with auxiliary information feedback to implement this system, aiming to enhance parsing performance and reduce bandwidth consumption during communication …”
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Low-Delay Analog Joint Source-Channel Coding with Deep Learning von Xuan, Ziwei, Narayanan, Krishna

“… We consider the design of low-delay joint source-channel coding (JSCC) schemes for the transmission of discrete-time analog sources over noisy channels based on deep neural networks …”
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Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications von 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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Machine Learning in the Air von 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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