3 papers
stat.ML2026
Characterization of the Basin of Convexity for Multi-Snapshot Spike Deconvolution via Variable Projection
Meghna Kalra, Maxime Ferreira Da Costa, Kiryung Lee
The problem of multi-snapshot spike deconvolution is studied, where the goal is to recover the locations of sparse impulses from their noisy convolution with a known point spread f…
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…