LAKER learns a data-dependent preconditioner to reduce condition numbers by up to three orders of magnitude and accelerate convergence over twenty-fold for regularized attention kernel regression in spectrum cartography.
Spectrum surveying: Active radio map estimation with autonomous UA Vs
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A compact SDR platform using HackRF One and Raspberry Pi captures 20 Msps IQ data with GNSS metadata and shows distinct RF propagation in foliage, urban, and indoor settings.
citing papers explorer
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Accelerating Regularized Attention Kernel Regression for Spectrum Cartography
LAKER learns a data-dependent preconditioner to reduce condition numbers by up to three orders of magnitude and accelerate convergence over twenty-fold for regularized attention kernel regression in spectrum cartography.
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Field-Deployable RF Capture System for Indoor, Outdoor, and Foliage Environments
A compact SDR platform using HackRF One and Raspberry Pi captures 20 Msps IQ data with GNSS metadata and shows distinct RF propagation in foliage, urban, and indoor settings.