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eess.SP2025
Global Convergence of ESPRIT with Preconditioned First-Order Methods for Spike Deconvolution
Joseph Gabet, Meghna Kalra, Maxime Ferreira Da Costa +1
Spike deconvolution is the problem of recovering point sources from their convolution with a known point spread function, playing a fundamental role in many sensing and imaging app…
eess.SP2024
Small-Noise Sensitivity Analysis of Locating Pulses in the Presence of Adversarial Perturbation
Meghna Kalra, Maxime Ferreira Da Costa, Kiryung Lee
A fundamental small-noise sensitivity analysis of spike localization in the presence of adversarial perturbations and an arbitrary point spread function (PSF) is presented. The ana…
eess.SP2024
Robust Phase Retrieval by Alternating Minimization
Seonho Kim, Kiryung Lee
We consider a least absolute deviation (LAD) approach to the robust phase retrieval problem that aims to recover a signal from its absolute measurements corrupted with sparse noise…