Achieving super-resolution in multi-rate sampling systems via efficient semidefinite programming. - Maxime Ferreira Da Costa; Wei Dai 001 (ITW, 2016)

On Super-Resolution in Multirate Sampling Systems. - Maxime Ferreira Da Costa; Wei Dai 001 (CoRR, 2016)

Sampling patterns for off-the-grid spectral estimation. - Maxime Ferreira Da Costa; Wei Dai 001 (ACSSC, 2017)

Low dimensional atomic norm representations in line spectral estimation. - Maxime Ferreira Da Costa; Wei Dai 001 (ISIT, 2017)

A Tight Converse to the Spectral Resolution Limit via Convex Programming. - Maxime Ferreira Da Costa; Wei Dai 001 (ISIT, 2018)

Self-Calibrated Super Resolution. - Maxime Ferreira Da Costa; Yuejie Chi (ACSSC, 2019)

Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution. - Yuejie Chi; Maxime Ferreira Da Costa (CoRR, 2019)

Support Stability of Spike Deconvolution via Total Variation Minimization. - Maxime Ferreira Da Costa; Yuejie Chi (CISS, 2020)

Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution. - Yuejie Chi; Maxime Ferreira Da Costa (IEEE Signal Process. Mag., 2020)

On the Stable Resolution Limit of Total Variation Regularization for Spike Deconvolution. - Maxime Ferreira Da Costa; Yuejie Chi (IEEE Trans. Inf. Theory, 2020)

Compressed Super-Resolution of Positive Sources. - Maxime Ferreira Da Costa; Yuejie Chi (IEEE Signal Process. Lett., 2021)

A Framework for Private Communication with Secret Block Structure. - Maxime Ferreira Da Costa; Urbashi Mitra (ICASSP, 2022)

Atomic Norm Based Localization and Orientation Estimation for Millimeter-Wave MIMO OFDM Systems. - Jianxiu Li; Maxime Ferreira Da Costa; Urbashi Mitra (ICASSP, 2022)

On the Stability of Super-Resolution and a Beurling-Selberg Type Extremal Problem. - Maxime Ferreira Da Costa; Urbashi Mitra (ISIT, 2022)

Joint Localization and Orientation Estimation in Millimeter-Wave MIMO OFDM Systems via Atomic Norm Minimization. - Jianxiu Li; Maxime Ferreira Da Costa; Urbashi Mitra (IEEE Trans. Signal Process., 2022)

Local Geometry of Nonconvex Spike Deconvolution From Low-Pass Measurements. - Maxime Ferreira Da Costa; Yuejie Chi (IEEE J. Sel. Areas Inf. Theory, 2023)

Small-Noise Sensitivity Analysis of Locating Pulses in the Presence of Adversarial Perturbation. - Meghna Kalra; Kiryung Lee; Maxime Ferreira Da Costa (SAM, 2024)

Preconditioned Gradient Descent for Sketched Mixture Learning. - Joseph Gabet; Maxime Ferreira Da Costa (ISIT, 2024)

Goal-Oriented Communications for Distributed Sensing: A Joint Scheduling and Estimation Approach. - Maxime Ferreira Da Costa; Salah-Eddine Elayoubi; Wassim Hajji (VTC Spring, 2024)

Physical Layer Location Privacy in SIMO Communication Using Fake Paths Injection. - Trong Duy Tran; Maxime Ferreira Da Costa; Linh-Trung Nguyen (CoRR, 2024)

Guaranteed Private Communication With Secret Block Structure. - Maxime Ferreira Da Costa; Jianxiu Li; Urbashi Mitra (IEEE Trans. Signal Process., 2024)

Convergence Guarantees for Unmixing PSFs over a Manifold with Non-Convex Optimization. - Santos Mliclielena; Maxime Ferreira Da Costa; José Picheral (SSP, 2025)

Global Convergence of ESPRIT with Preconditioned First-Order Methods for Spike Deconvolution. - Joseph Gabet; Meghna Kalra; Maxime Ferreira Da Costa; Kiryung Lee (CoRR, 2025)

Convergence Guarantees for Unmixing PSFs over a Manifold with Non-Convex Optimization. - Santos Michelena; Maxime Ferreira Da Costa; José Picheral (CoRR, 2025)