Continuous Algebraic Diversity: Unifying Spectral, Wavelet, and Time-Frequency Analysis via Lie Group Actions
2026-05-05T08:51:41Z•2dd0ecabe39fccb77adcb98ae05c0f794b53c8b0337d0dc359764c56506a010c
biosignalscuffless-bpdeep-learningdevice-free-sensingdomain-adaptationedge-deploymenteeGfall-detectionfetal-monitoringfoundation-modelshealthcarelow-powermachine-learningmodulation-recognitionmulti-antennaon-sensorprivacysignal-processingspectral-analysisstate-space-modelstime-frequencytransformerswaveletswearableswi-fi-csi
What happened
Collection of recent signal-processing and ML papers (arXiv eess.SP) covering: a Lie-group unification of Fourier/wavelet/time-frequency analysis; multi-antenna deep-learning modulation recognition; compact transformer and source-free domain adaptation methods for EEG (including use of large EEG foundation models); hybrid physics-informed ML for cuffless blood-pressure estimation; a rigorous cross-subject EEG vowel-decoding benchmark; a physics-driven, attention-enhanced WiFi CSI fall-detection system deployed on edge devices; an ultra-low-power on-sensor change-detection gate for HAR; NAKUL,a
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 2dd0ecabe39fccb77adcb98ae05c0f794b53c8b0337d0dc359764c56506a010c
- Enrichment time
- 2026-05-05T08:51:41Z
- AI-assisted enrichment
- Yes
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