Publications

Preprints

• Clutter-aware Robust Beamforming for MIMO-OFDM ISAC Trong Duy Tran, Maxime Ferreira Da Costa, Salah Eddine Elayoubi, and Linh Trung Nguyen
  HAL PDF
• Optimal sampling density design for homotopic off-the-grid deconvolution Joseph Gabet, Maxime Ferreira Da Costa, and Kiryung Lee
  HAL PDF
• Preconditioned Gradient Descent for Spike Deconvolution and Sketched Mixture Learning Joseph Gabet and Maxime Ferreira Da Costa
  HAL PDF
• Characterization of the Basin of Convexity for Multi-Snapshot Spike Deconvolution via Variable Projection Meghna Kalra, Maxime Ferreira Da Costa, and Kiryung Lee
  HAL arXiv
• A Discrete Abel-Hilbert Principle for Conditioning of Weighted and First-Order Confluent Vandermonde Operators Joseph Gabet and Maxime Ferreira Da Costa
  HAL PDF
• Goal-oriented Energy-aware Multimodal Scheduling for Cooperative Perception Trong Duy Tran, Maxime Ferreira Da Costa, Salah Eddine Elayoubi, and Linh Trung Nguyen
  HAL PDF
• Local Geometry of Least Squares for Unmixing Signals with Parameter-Dependent Dictionaries Santos Michelena, Maxime Ferreira Da Costa, and José Picheral
  HAL arXiv
• Atomic Hybrid Sparse/Diffuse Channel Estimation and Cramér–Rao Bounds Analysis Lei Lyu, Maxime Ferreira Da Costa, and Urbashi Mitra
  HAL arXiv
• Goal-oriented Resource Allocation for Collaborative Integrated Sensing and Communication Trong Duy Tran, Maxime Ferreira Da Costa, Salah Eddine Elayoubi, and Linh Trung Nguyen
  HAL arXiv
• The condition number of weighted non-harmonic Fourier matrices with applications to super-resolution Maxime Ferreira Da Costa
  HAL

2026

• Method and System for Calibration-Free Laser-Induced Breakdown Spectroscopy (LIBS) Santos Michelena, Benoit Da Costa Fernandes, Luc Augis, Ronald Berger-Lefébure, José Picheral, and Maxime Ferreira Da Costa French patent application FR2611928, 2026.
• Restricted Isometry for Variable-Density Continuous Frequency Sampling for off-the-Grid Sparse Signals Joseph Gabet, Maxime Ferreira Da Costa, and Kiryung Lee IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026).
  HAL IEEE
• Cramér–Rao Bounds on Sparse-Diffuse Channel Estimation Lei Lyu, Maxime Ferreira Da Costa, and Urbashi Mitra IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026).
  HAL IEEE
• Strong Basin of Attraction for Unmixing Kernels with the Variable Projection Method Santos Michelena, Maxime Ferreira Da Costa, and José Picheral IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026).
  HAL IEEE
• Global Convergence of ESPRIT with Preconditioned First-Order Methods for Spike Deconvolution Joseph Gabet, Meghna Kalra, Maxime Ferreira Da Costa, and Kiryung Lee European Signal Processing Conference (EUSIPCO 2026), to appear.
  HAL arXiv

2025

• Goal-Oriented Resource Allocation and Scheduling for Integrated Sensing and Communications Trong Duy Tran, Maxime Ferreira Da Costa, Salah Eddine Elayoubi, and Linh Trung Nguyen IEEE Global Communications Conference (GLOBECOM 2025).
  HAL IEEE
• Déconvolution dynamique par descente de gradient préconditionnée Joseph Gabet, Maxime Ferreira Da Costa, and Charles Soussen Actes du Colloque GRETSI 2025.
  HAL
• Reconstruction de réponses impulsionnelles sur une variété pour la spectroscopie de plasma induit par laser Santos Michelena, José Picheral, and Maxime Ferreira Da Costa Actes du Colloque GRETSI 2025.
  HAL
• Physical Layer Location Privacy in SIMO Communication Using Fake Path Injection Trong Duy Tran, Maxime Ferreira Da Costa, and Linh Trung Nguyen IEEE International Conference on Communications Workshops (ICC Workshops 2025).
  HAL arXiv IEEE
• Convergence Guarantees for Unmixing PSFs over a Manifold with Non-Convex Optimization Santos Michelena, Maxime Ferreira Da Costa, and José Picheral IEEE Statistical Signal Processing Workshop (SSP 2025).
  HAL arXiv IEEE

2024

• Securing Channel State Information via Fake Path Injection in SIMO Communication Trong Duy Tran, Maxime Ferreira Da Costa, and Linh Trung Nguyen International Workshop on ADVANCEs in ICT Infrastructures and Services, 2024.
  HAL
• Small-Noise Sensitivity Analysis of Locating Pulses in the Presence of Adversarial Perturbation Meghna Kalra, Maxime Ferreira Da Costa, and Kiryung Lee IEEE 13th Sensor Array and Multichannel Signal Processing Workshop (SAM 2024).
  HAL arXiv IEEE
• Preconditioned Gradient Descent for Sketched Mixture Learning Joseph Gabet and Maxime Ferreira Da Costa IEEE International Symposium on Information Theory (ISIT 2024).
  HAL IEEE
• Goal-Oriented Communications for Distributed Sensing: a joint scheduling and estimation approach Maxime Ferreira Da Costa, Salah Eddine Elayoubi, and Wassim Hajji IEEE 99th Vehicular Technology Conference (VTC2024-Spring).
  HAL IEEE
• Guaranteed Private Communication with Secret Block Structure Maxime Ferreira Da Costa, Jianxiu Li, and Urbashi Mitra IEEE Transactions on Signal Processing, vol. 72, pp. 3547–3561, 2024.
  HAL arXiv IEEE

2023

• Novel, accurate pathogen sensors for fast detection of SARS-CoV-2 in the aerosol in seconds for a breathalyzer platform Xiaoling Shi, Pardis Sadeghi, Nader Lobandi, et al. Biosensors and Bioelectronics: X, vol. 14, art. 100369, 2023.
  Elsevier
• Local Geometry of Nonconvex Spike Deconvolution From Low-Pass Measurements Maxime Ferreira Da Costa and Yuejie Chi IEEE Journal on Selected Areas in Information Theory, vol. 4, pp. 1–15, 2023.
  HAL arXiv IEEE
• Second-Order Beurling Approximations and Super-Resolution from Bandlimited Functions Maxime Ferreira Da Costa International Conference on Sampling Theory and Applications (SampTA 2023).
  HAL IEEE

2022

• A Framework for Private Communication with Secret Block Structure Maxime Ferreira Da Costa and Urbashi Mitra IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022).
  arXiv IEEE
• Joint Localization and Orientation Estimation in Millimeter-Wave MIMO OFDM Systems via Atomic Norm Minimization Jianxiu Li, Maxime Ferreira Da Costa, and Urbashi Mitra IEEE Transactions on Signal Processing, vol. 70, pp. 4252–4264, 2022.
  arXiv IEEE
• On the Stability of Super-Resolution and a Beurling–Selberg Type Extremal Problem Maxime Ferreira Da Costa and Urbashi Mitra IEEE International Symposium on Information Theory (ISIT 2022).
  arXiv IEEE
• Atomic Norm Based Localization and Orientation Estimation for Millimeter-Wave MIMO OFDM Systems Jianxiu Li, Maxime Ferreira Da Costa, and Urbashi Mitra IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022).
  arXiv IEEE

2021

• Compressed Super-Resolution of Positive Sources Maxime Ferreira Da Costa and Yuejie Chi IEEE Signal Processing Letters, vol. 28, pp. 56–60, 2021.
  arXiv IEEE

2020

• Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution Yuejie Chi and Maxime Ferreira Da Costa IEEE Signal Processing Magazine, vol. 37, no. 2, pp. 39–57, 2020.
  arXiv IEEE Code
• On the Stable Resolution Limit of Total Variation Regularization for Spike Deconvolution Maxime Ferreira Da Costa and Yuejie Chi IEEE Transactions on Information Theory, vol. 66, no. 11, pp. 7237–7252, 2020.
  arXiv IEEE
• Support Stability of Spike Deconvolution via Total Variation Minimization Maxime Ferreira Da Costa and Yuejie Chi 54th Annual Conference on Information Sciences and Systems (CISS 2020).
  IEEE PDF

2019

• Self-Calibrated Super Resolution Maxime Ferreira Da Costa and Yuejie Chi 53rd Asilomar Conference on Signals, Systems, and Computers, 2019.
  IEEE PDF

2018

• A Tight Converse to the Spectral Resolution Limit via Convex Programming Maxime Ferreira Da Costa and Wei Dai IEEE International Symposium on Information Theory (ISIT 2018). Finalist for the IEEE ISIT Jack Keil Wolf Award
  arXiv IEEE

2017

• A Guaranteed Poly-Logarithmic Time Relaxation for the Line Spectral Estimation Problem Maxime Ferreira Da Costa and Wei Dai Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS 2017).
  PDF
• Low dimensional atomic norm representations in line spectral estimation Maxime Ferreira Da Costa and Wei Dai IEEE International Symposium on Information Theory (ISIT 2017).
  arXiv IEEE
• Sampling patterns for off-the-grid spectral estimation Maxime Ferreira Da Costa and Wei Dai 51st Asilomar Conference on Signals, Systems, and Computers, 2017.
  IEEE PDF

2016

• Achieving super-resolution in multi-rate sampling systems via efficient semidefinite programming Maxime Ferreira Da Costa and Wei Dai IEEE Information Theory Workshop (ITW 2016).
  arXiv IEEE
• Exact Dimensionality Reduction for Partial Line Spectra Estimation Problems Maxime Ferreira Da Costa and Wei Dai
  arXiv