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Extended Universal Joint Source-Channel Coding for Digital Semantic Communications: Improving Channel-Adaptability
Deep learning (DL)-based joint source--channel coding (JSCC), particularly vector quantization (VQ)-based JSCC, enables efficient semantic communication by mapping high-dimensional feature vectors into compact codeword indices for digital modulation. However, existing methods, including universal JS
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