Emergent Mind

Phase retrieval from the norms of affine transformations

(1805.07899)
Published May 21, 2018 in cs.IT , math.AG , and math.IT

Abstract

In this paper, we consider the generalized phase retrieval from affine measurements. This problem aims to recover signals ${\mathbf x} \in {\mathbb F}d$ from the affine measurements $yj=\norm{Mj*\vx +{\mathbb b}j}2,\; j=1,\ldots,m,$ where $Mj \in {\mathbb F}{d\times r}, {\mathbf b}j\in {\mathbb F}{r}, {\mathbb F}\in {{\mathbb R},{\mathbb C}}$ 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 ${(Mj,{\mathbf b}j)}{j=1}m$ having generalized affine phase retrieval property. We also establish results on minimal measurement number for generalized affine phase retrieval. Particularly, we show if ${(Mj,{\mathbf b}j)}{j=1}m \subset {\mathbb F}{d\times r}\times {\mathbb F}{r}$ has generalized affine phase retrieval property, then $m\geq d+\floor{d/r}$ for ${\mathbb F}={\mathbb R}$ ($m\geq 2d+\floor{d/r}$ for ${\mathbb F}={\mathbb C}$ ). We also show that the bound is tight provided $r\mid d$. These results imply that one can reduce the measurement number by raising $r$, i.e. the rank of $Mj$. This highlights a notable difference between generalized affine phase retrieval and generalized phase retrieval. Furthermore, using tools of algebraic geometry, we show that $m\geq 2d$ (resp. $m\geq 4d-1$) generic measurements ${\mathcal A}={(Mj,bj)}_{j=1}m$ have the generalized phase retrieval property for ${\mathbb F}={\mathbb R}$ (resp. ${\mathbb F}={\mathbb C}$).

We're not able to analyze this paper right now due to high demand.

Please check back later (sorry!).

Generate a summary of this paper on our Pro plan:

We ran into a problem analyzing this paper.

Newsletter

Get summaries of trending comp sci papers delivered straight to your inbox:

Unsubscribe anytime.