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检索条件"主题词=Joint Source-channel coding"
621 条 记 录,以下是151-160 订阅
排序:
Deep Learning Based Coded Over-the-Air Computation for Personalized Federated Learning  98
Deep Learning Based Coded Over-the-Air Computation for Perso...
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98th IEEE Vehicular Technology Conference (VTC-Fall)
作者: Chen, Danni Lei, Ming Zhao, Ming-Min Liu, An Sheng, Sikai Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Peoples R China Zhejiang Prov Key Lab Informat Proc Commun & Netw Hangzhou 310027 Peoples R China
Federated learning (FL) is an edge learning framework that has received significant attention recently. However, the cost of communication has become a major challenge for FL as the number of edge devices grows and th... 详细信息
来源: 评论
DeepWiVe: Deep-Learning-Aided Wireless Video Transmission
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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2022年 第9期40卷 2570-2583页
作者: Tung, Tze-Yang Gunduz, Deniz Imperial Coll London Informat Proc & Commun Lab IPC Lab London SW7 2AZ England
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 (DNNs) to directly map video signals to channel symbols, com... 详细信息
来源: 评论
Incremental Refinements and Multiple Descriptions With Feedback
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IEEE TRANSACTIONS ON INFORMATION THEORY 2022年 第10期68卷 6915-6940页
作者: Ostergaard, Jan Erez, Uri Zamir, Ram Aalborg Univ Dept Elect Syst DK-9000 Aalborg Denmark Tel Aviv Univ Dept Elect Engn Syst IL-69978 Tel Aviv Israel
It is well known that independent (separate) encoding of K correlated sources may incur some rate loss compared to joint encoding, even if the decoding is done jointly. This loss is particularly evident in the multipl... 详细信息
来源: 评论
Strategic Quantization over a Noisy channel  57
Strategic Quantization over a Noisy Channel
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57th Asilomar Conference on Signals, Systems and Computers
作者: Anand, Anju Akyol, Emrah SUNY Binghamton Elect & Comp Engn Binghamton NY 13902 USA
This paper is concerned with the strategic quantization setting where the encoder and the decoder have misaligned objectives and communicate over a noisy channel, extending the work on classical channel-optimized quan... 详细信息
来源: 评论
End-to-End Learning-Based Wireless Image Recognition Using the PyramidNet in Edge Intelligence  34
End-to-End Learning-Based Wireless Image Recognition Using t...
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IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
作者: Lee, Kyubihn Yu, Nam Yul Gwangju Inst Sci & Technol GIST Sch Elect Engn & Comp Sci Gwangju South Korea
In edge intelligence, deep learning (DL) models are deployed at an edge device and an edge server for data processing with low latency in the Internet of Things (IoT). In this paper, we propose a new end-to-end learni... 详细信息
来源: 评论
channel-Optimized Strategic Quantizer Design via Dynamic Programming  22
Channel-Optimized Strategic Quantizer Design via Dynamic Pro...
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22nd IEEE Statistical Signal Processing Workshop (SSP)
作者: Anand, Anju Akyol, Emrah SUNY Binghamton Elect & Comp Engn Binghamton NY 13902 USA
We consider the design problem of a strategic quantizer over a noisy channel, extending the classical work on channel-optimized quantization to strategic settings where the encoder and the decoder have misaligned obje... 详细信息
来源: 评论
Semantics-Empowered UAV-assisted Wireless Communication System for Wildfire Detection  28
Semantics-Empowered UAV-assisted Wireless Communication Syst...
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IEEE 28th International Workshop on Computer-Aided Modeling and Design of Communication Links and Networks (CAMAD)
作者: Basnayaka, Chathuranga M. Wijerathna Jayakody, Dushantha Nalin K. Beko, Marko Univ Lisbon Inst Telecomunicacoes Inst Super Tecn P-1049001 Lisbon Portugal Lusofona Univ COPELABS P-1700097 Lisbon Portugal Sri Lanka Technol Campus Sch Engn Ctr Telecommun Res Padukka 10500 Sri Lanka
With the increasing occurrence of wildfires globally, quick and effective detection methods are vital. This paper proposes an innovative solution for wildfire detection using Unmanned Aerial Vehicle (UAV)-assisted det... 详细信息
来源: 评论
Text Semantic Communication Systems with Sentence-Level Semantic Fidelity
Text Semantic Communication Systems with Sentence-Level Sema...
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IEEE Wireless Communications and Networking Conference (WCNC)
作者: Tang, Bing Li, Qiang Huang, Likun Yin, Yiran Huazhong Univ Sci & Technol Wuhan 430074 Peoples R China Wuhan Inst Technol Wuhan 430205 Peoples R China
Semantic communication systems have been proposed for efficient text transmissions in recent years. However, most existing methods mainly focus on word-level recovery, which fails to reflect the semantic fidelity of t... 详细信息
来源: 评论
joint source-channel coding OF 3D VIDEO USING MULTIVIEW coding
JOINT SOURCE-CHANNEL CODING OF 3D VIDEO USING MULTIVIEW CODI...
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Arash Vosoughi Vanessa Testoni Pamela Cosman Laurence Milstein ECE University of California San Diego
We consider the joint source-channel coding problem of a 3D video transmitted over an AWGN channel. The goal is to minimize the total number of bits, which is the sum of the number of source bits and the number of for... 详细信息
来源: 评论
Deep-Learning-Aided Wireless Video Transmission  23
Deep-Learning-Aided Wireless Video Transmission
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23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)
作者: Tung, Tze-Yang Gunduz, Deniz Imperial Coll London Informat Proc & Commun Lab IPC Lab London England Univ Modena & Reggio Emilia Enzo Ferrari Dept Engn Modena Italy
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 (DNNs) to directly map video signals to channel symbols, com... 详细信息
来源: 评论