作者: Jean-Marc Azais , Fabrice Gamboa , Yohann De Castro
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摘要: This article investigates the support detection problem using LASSO estimator in space of measures. More precisely, we study recovery a discrete measure (spike train) from few noisy observations (Fourier samples, moments...) an $\ell_{1}$-regularization procedure. In particular, provide explicit quantitative localization spikes.