DSRDM: Digital Signal Recovery Diffusion Model for Semantic Communications
2026-05-28T08:51:41Z•68c3039ffa469bb4e140d464507c768d849b6e0a0a52e22badf79f1f2743c0db
3D InISAR phase unwrappingBD-RISFMCW MIMO radarISAC trackingSPADXL-MIMOadaptive notch filtersautomatic attenuation controldeep reinforcement learningdiffusion modelsdigital signal recoverydirection-of-arrivaldual-functional radar-communicationgrid-equivalent model identificationheartbeat monitoringmovable antennasnested Tucker decompositionnoise reductionoptical wireless communicationsreconfigurable intelligent surfacessemantic communicationssparse Bayesian learningstochastic geometrytensor train decompositiontransformer
What happened
Collection of recent signal-processing and wireless-research preprints (arXiv eess.SP) covering advances in semantic communications, radar/ISAC, MIMO channel estimation, tensor methods, and optical receivers. Key contributions include: DSRDM — a diffusion-model approach to embed and recover digital signals in image carriers for semantic communications; NTFE — nested Tucker/tensor factorization for delay-Doppler and angle estimation with group-connected BD-RIS; an automatic attenuation control (AAC) algorithm to mitigate SPAD photon-counting saturation in optical wireless links; movable-antenna
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 68c3039ffa469bb4e140d464507c768d849b6e0a0a52e22badf79f1f2743c0db
- Enrichment time
- 2026-05-28T08:51:41Z
- AI-assisted enrichment
- Yes
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