Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution Y Chi, M Ferreira Da Costa IEEE Signal Processing Magazine 37 (2), 39-57, 2020 | 39 | 2020 |
A Tight Converse to the Spectral Resolution Limit via Convex Programming M Ferreira Da Costa, W Dai arXiv preprint arXiv:1801.04761, 2018 | 8* | 2018 |
Low Dimensional Atomic Norm Representations in Line Spectral Estimation M Ferreira Da Costa, W Dai 2017 IEEE International Symposium on Information Theory, 2017 | 6* | 2017 |
On the Stable Resolution Limit of Total Variation Regularization for Spike Deconvolution M Ferreira Da Costa, Y Chi IEEE Transactions on Information Theory 66 (11), 7237-7252, 2019 | 4* | 2019 |
Exact Dimensionality Reduction for Partial Line Spectra Estimation Problems M Ferreira Da Costa, W Dai arXiv preprint arXiv:1609.03142, 2016 | 4* | 2016 |
Self-calibrated super resolution M Ferreira Da Costa, Y Chi 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 230-234, 2019 | 2 | 2019 |
Sampling Patterns for Off-the-Grid Spectral Estimation M Ferreira Da Costa, W Dai | 2* | |
Achieving Super-Resolution in Multi-Rate Sampling Systems via Efficient Semidefinite Programming M Ferreira Da Costa, W Dai arXiv preprint arXiv:1604.05640, 2016 | 1* | 2016 |
Compressed Super-Resolution of Positive Sources MF Da Costa, Y Chi IEEE Signal Processing Letters, 2020 | | 2020 |
Support Stability of Spike Deconvolution via Total Variation Minimization M Ferreira Da Costa, Y Chi 2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2020 | | 2020 |
A total variation approach to sampling and sparse reconstruction from Fourier measurements M Ferreira Da Costa Imperial College London, 2018 | | 2018 |
A Guaranteed Poly-Logarithmic Time Relaxation for the Line Spectral Estimation Problem M Ferreira Da Costa, W Dai | | |