An adaptive inverse scale space method for compressed sensing
نویسندگان
چکیده
In this paper we introduce a novel adaptive approach for solving `-minimization problems as frequently arising in compressed sensing, which is based on the recently introduced inverse scale space method. The scheme allows to efficiently compute minimizers by solving a sequence of low-dimensional nonnegative least-squares problems. We provide a detailed convergence analysis in a general setup as well as refined results under special conditions. In addition we discuss experimental observations in several numerical examples.
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ورودعنوان ژورنال:
- Math. Comput.
دوره 82 شماره
صفحات -
تاریخ انتشار 2013