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MVJSCC: Adaptive Lightweight DeepJSCC for Semantic Image Transmission
Man Xu
,
Chan Tong Lam
, Yuanhui Liang
, Ting Qiu
,
Benjamin K. Ng
,
Sio Kei Im
Faculty of Applied Sciences
Macao Polytechnic University
Sichuan University of Science & Engineering
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引文 斯高帕斯(Scopus)
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Engineering
Joint Source
100%
Channel Coding
100%
Image Transmission
100%
Signal-to-Noise Ratio
75%
Orthogonal Frequency Division Multiplexing
50%
Channel State Information
50%
Computational Efficiency
25%
Adaptability
25%
Peak Signal
25%
Structural Similarity
25%
Metrics
25%
Computational Complexity
25%
Point Operation
25%
Floating Point
25%
Fading Channel
25%
Channel Bandwidth
25%
Numerical Experiment
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Autoencoder
25%
Similarity Index
25%
Coding Scheme
25%
Computer Science
Image Transmission
100%
Semantic Image
100%
joint source channel coding
100%
Orthogonal Frequency Division Multiplexing
50%
Channel State Information
50%
Signal-to-Noise Ratio
50%
Attention (Machine Learning)
25%
Computational Complexity
25%
Autoencoder
25%
Floating-Point Operation
25%
peak signal to noise ratio
25%
multipath fading channel
25%
Computational Efficiency
25%
Decomposition Method
25%
Channel Bandwidth
25%
Structural Similarity
25%
Earth and Planetary Sciences
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