Low noise sensitivity analysis of -minimization in oversampled systems
نویسندگان
چکیده
منابع مشابه
Low noise sensitivity analysis of Lq-minimization in oversampled systems
The class of lq-regularized least squares (LQLS) are considered for estimating β ∈ R from its n noisy linear observations y = Xβ+w. The performance of these schemes are studied under the high-dimensional asymptotic setting in which the dimension of the signal grows linearly with the number of measurements. In this asymptotic setting, phase transition diagrams (PT) are often used for comparing t...
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ژورنال
عنوان ژورنال: Information and Inference: A Journal of the IMA
سال: 2019
ISSN: 2049-8764,2049-8772
DOI: 10.1093/imaiai/iay024