| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6416912 | Applied and Computational Harmonic Analysis | 2015 | 19 Pages |
Abstract
This article investigates the support detection problem using the LASSO estimator in the space of measures. More precisely, we study the recovery of a discrete measure (spike train) from few noisy observations (Fourier samples, moments, etc.) using an â1-regularization procedure. In particular, we provide an explicit quantitative localization of the spikes.
Related Topics
Physical Sciences and Engineering
Mathematics
Analysis
Authors
Jean-Marc Azaïs, Yohann de Castro, Fabrice Gamboa,