A new unmixing metric and geometric analysis yield local convergence and stability guarantees for least-squares unmixing of separable signals, with application to PSF unmixing.
Harnessing sparsity over the continuum: Atomic norm minimization for superresolution
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
A hybrid sparse/diffuse frequency-domain channel model is proposed together with the HALS estimator and new Cramér-Rao bounds that incorporate minimum frequency-parameter separations.
citing papers explorer
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Local Geometry of Least Squares for Unmixing Signals with Parameter-Dependent Dictionaries
A new unmixing metric and geometric analysis yield local convergence and stability guarantees for least-squares unmixing of separable signals, with application to PSF unmixing.
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Atomic Hybrid Sparse/Diffuse Channel Estimation and Cram\'er-Rao Bounds Analysis
A hybrid sparse/diffuse frequency-domain channel model is proposed together with the HALS estimator and new Cramér-Rao bounds that incorporate minimum frequency-parameter separations.