کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8901634 1631945 2019 29 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Signal recovery under cumulative coherence
ترجمه فارسی عنوان
بهبود سیگنال تحت انسجام تجمعی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
چکیده انگلیسی
This paper considers signal recovery in the framework of cumulative coherence. First, we show that the Lasso estimator and the Dantzig selector exhibit similar behavior under the cumulative coherence. Then we estimate the approximation equivalence between the Lasso and the Dantzig selector by calculating prediction loss difference under the condition of cumulative coherence. And we also prove that the cumulative coherence implies the restricted eigenvalue condition. Last, we illustrate the advantages of cumulative coherence condition for three class matrices, in terms of the recovery performance of sparse signals via extensive numerical experiments.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 346, 15 January 2019, Pages 399-417
نویسندگان
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