In recent years, semantic communication based on deep joint source-channel coding (DEEPJSCC) has been demonstrated and widely investigated. However, existing DEEPJSCC schemes suffer from low efficiency in mining latent semantic representations, as well as large model size, high computational complexity, and redundant parameters. To address these issues, we meticulously establish a lightweight DEEPJSCC framework for wireless image semantic transmission, termed STARJSCC.
View Article and Find Full Text PDFIn industrial polishing, the sensor on the polishing motor needs to extract accurate signals in real time. Due to the insufficient real-time performance of Variational Mode Decomposition (VMD) for signal extraction, some studies have proposed the Recursive Sliding Variational Mode Decomposition (RSVMD) algorithm to address this limitation. However, RSVMD can exhibit unstable performance in strong-interference scenarios.
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