MASC internalizes multi-order n-gram patterns via shared PCM and MMER routing to refine source probabilities, shorten codelengths, and reduce sensitivity to channel errors in SSCC for low-SNR regimes.
Separate source channel coding is still what you need: An LLM-based rethinking
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper analytically derives the optimal semantic feature channel for linear encoder-decoder structures with Gaussian sources and proposes a joint optimization framework plus real-time physical-layer calibration for analog and digital semantic communications.
citing papers explorer
-
Contextual Memory-Enhanced Source Coding for Low-SNR Communications
MASC internalizes multi-order n-gram patterns via shared PCM and MMER routing to refine source probabilities, shorten codelengths, and reduce sensitivity to channel errors in SSCC for low-SNR regimes.
-
Towards Optimal Semantic Communications: Reconsidering the Role of Semantic Feature Channels
The paper analytically derives the optimal semantic feature channel for linear encoder-decoder structures with Gaussian sources and proposes a joint optimization framework plus real-time physical-layer calibration for analog and digital semantic communications.