Advances in Applied Mathematics ( IF 1.1 ) Pub Date : 2021-06-15 , DOI: 10.1016/j.aam.2021.102243 Meng Huang , Zhiqiang Xu
In this paper, we consider the generalized phase retrieval from affine measurements. This problem aims to recover signals from the magnitude of the affine transformations , where and we call it generalized affine phase retrieval. We first develop a framework for generalized affine phase retrieval with presenting several necessary and sufficient conditions for having generalized affine phase retrieval property. Next, we focus on the minimal measurement number problem and establish some results for it. Particularly, we show if has generalized affine phase retrieval property, then for ( for ). We also show that the lower bounds are tight provided . These results imply that one can reduce the measurement number by raising r, i.e. the rank of . This highlights a notable difference between generalized affine phase retrieval and generalized phase retrieval. Furthermore, using tools of algebraic geometry, we show that (resp. ) generic measurements have the generalized phase retrieval property for (resp. ).
中文翻译:
从仿射变换的范数中检索相位
在本文中,我们考虑从仿射测量中进行广义相位检索。这个问题旨在恢复信号 从仿射变换的幅度 , 在哪里 我们称之为广义仿射相位检索。我们首先开发了一个广义仿射相位检索框架,并提出了几个必要和充分条件具有广义仿射相位检索特性。接下来,我们关注最小测量数问题并为其建立一些结果。特别地,我们展示了如果 具有广义仿射相位检索性质,则 为了 ( 为了 )。我们还表明下限是严格的. 这些结果意味着可以通过提高r来减少测量数,即. 这突出了广义仿射相位检索和广义相位检索之间的显着差异。此外,使用代数几何工具,我们表明 (分别 ) 一般测量 具有广义相位检索特性 (分别 )。