Blind Adaptive Equalization in Additive Impulsive Noise Using the Logarithmic Product Fractional-Moment (LP-FM) Criterion
2026-07-22T08:51:41Z•b2e61df45058f536a82630905d86fdd120dfcc473457f07e7832cf27473bbee8
DASISACLP-FMMIMONBEA-SASOFDMSCPDalpha-stableblind-equalizationchannel-estimationcommunicationscyclic-prefix-free-OFDM','XL-MIMO','non-square-UPA','near-field-distributed-acoustic-sensinggraph-neural-networksimpulsive-noiselarge-language-modelslong-horizon-schedulingprimal-dualsemantic-communicationssignal-processingstate-augmentationstructured-CPDsynchronizationtail-reusewireless
What happened
This collection of arXiv papers (22 Jul 2026) presents advances across wireless communications and sensing: a new logarithmic product fractional-moment (LP‑FMS) criterion and normalized blind equalization algorithm (NBEA‑SAS) for robust mitigation of inter‑symbol interference in symmetric α‑stable impulsive noise; a state‑augmented Graph Neural Network approach for long‑horizon wireless link scheduling via a sampled primal‑dual/Lagrangian method; a novel semantic‑aware data‑aided MIMO channel estimation framework that fine‑tunes large language models (LLMs) to verify and correct detected data‑
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- b2e61df45058f536a82630905d86fdd120dfcc473457f07e7832cf27473bbee8
- Enrichment time
- 2026-07-22T08:51:41Z
- AI-assisted enrichment
- Yes
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