English

Phase retrieval from the norms of affine transformations

Information Theory 2018-05-29 v2 Algebraic Geometry math.IT

Abstract

In this paper, we consider the generalized phase retrieval from affine measurements. This problem aims to recover signals xFd{\mathbf x} \in {\mathbb F}^d from the affine measurements yj=\normMj\vx+bj2,  j=1,,m,y_j=\norm{M_j^*\vx +{\mathbb b}_j}^2,\; j=1,\ldots,m, where MjFd×r,bjFr,F{R,C}M_j \in {\mathbb F}^{d\times r}, {\mathbf b}_j\in {\mathbb F}^{r}, {\mathbb F}\in \{{\mathbb R},{\mathbb C}\} and we call it as {\em generalized affine phase retrieval}. We develop a framework for generalized affine phase retrieval with presenting necessary and sufficient conditions for {(Mj,bj)}j=1m\{(M_j,{\mathbf b}_j)\}_{j=1}^m having generalized affine phase retrieval property. We also establish results on minimal measurement number for generalized affine phase retrieval. Particularly, we show if {(Mj,bj)}j=1mFd×r×Fr\{(M_j,{\mathbf b}_j)\}_{j=1}^m \subset {\mathbb F}^{d\times r}\times {\mathbb F}^{r} has generalized affine phase retrieval property, then md+\floord/rm\geq d+\floor{d/r} for F=R{\mathbb F}={\mathbb R} (m2d+\floord/rm\geq 2d+\floor{d/r} for F=C{\mathbb F}={\mathbb C} ). We also show that the bound is tight provided rdr\mid d. These results imply that one can reduce the measurement number by raising rr, i.e. the rank of MjM_j. This highlights a notable difference between generalized affine phase retrieval and generalized phase retrieval. Furthermore, using tools of algebraic geometry, we show that m2dm\geq 2d (resp. m4d1m\geq 4d-1) generic measurements A={(Mj,bj)}j=1m{\mathcal A}=\{(M_j,b_j)\}_{j=1}^m have the generalized phase retrieval property for F=R{\mathbb F}={\mathbb R} (resp. F=C{\mathbb F}={\mathbb C}).

Keywords

Cite

@article{arxiv.1805.07899,
  title  = {Phase retrieval from the norms of affine transformations},
  author = {Meng Huang and Zhiqiang Xu},
  journal= {arXiv preprint arXiv:1805.07899},
  year   = {2018}
}

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20 pages