1 citations · 1 across the 3 of their papers we have counts for
5 papers
On the Stability of Super-Resolution and a Beurling-Selberg Type Extremal Problem
Maxime Ferreira Da Costa, Urbashi Mitra
Super-resolution estimation is the problem of recovering a stream of spikes (point sources) from the noisy observation of a few numbers of its first trigonometric moments. The perf…
Atomic Norm Based Localization and Orientation Estimation for Millimeter-Wave MIMO OFDM Systems
Jianxiu Li, Maxime Ferreira Da Costa, Urbashi Mitra
Herein, an atomic norm based method for accurately estimating the location and orientation of a target from millimeter-wave multi-input-multi-output (MIMO) orthogonal frequency-div…
A Framework for Private Communication with Secret Block Structure
Maxime Ferreira Da Costa, Urbashi Mitra
Harnessing a block-sparse prior to recover signals through underdetermined linear measurements has been extensively shown to allow exact recovery in conditions where classical comp…
Compressed Super-Resolution of Positive Sources
Maxime Ferreira Da Costa, Yuejie Chi
Atomic norm minimization is a convex optimization framework to recover point sources from a subset of their low-pass observations, or equivalently the underlying frequencies of a s…
Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution
Yuejie Chi, Maxime Ferreira Da Costa
Convex optimization recently emerges as a compelling framework for performing super resolution, garnering significant attention from multiple communities spanning signal processing…