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A Banach-space regularization approach for microwave imaging

机译:微波成像的Banach空间正则化方法

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The development of regularization algorithms in the framework of Banach spaces is an emerging scientific topic. This approach provides several advantages with respect to standard methods, which are all developed in Hilbert spaces. In particular, it allows reducing the over-smoothing effects and the oscillations that are often present in standard Hilbert-space solutions. In this paper, the Banach-space regularization theory is used to solve an electromagnetic inverse-scattering problem related to microwave imaging. In particular, an ad-hoc developed two-step algorithm is introduced and some numerical results are reported.
机译:Banach空间框架中正则化算法的发展是一个新兴的科学课题。这种方法相对于标准方法具有几个优点,这些方法都是在希尔伯特空间中开发的。特别是,它可以减少标准Hilbert空间解决方案中经常出现的过平滑效应和振荡。本文使用Banach空间正则化理论来解决与微波成像有关的电磁逆散射问题。特别介绍了一种临时开发的两步算法,并报告了一些数值结果。

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