Papers
Topics
Authors
Recent
Search
2000 character limit reached

Phase Retrieval using Lipschitz Continuous Maps

Published 10 Mar 2014 in math.FA, cs.IT, math.IT, and stat.ML | (1403.2301v1)

Abstract: In this note we prove that reconstruction from magnitudes of frame coefficients (the so called "phase retrieval problem") can be performed using Lipschitz continuous maps. Specifically we show that when the nonlinear analysis map $\alpha:{\mathcal H}\rightarrow\mathbb{R}m$ is injective, with $(\alpha(x))_k=|<x,f_k>|2$, where ${f_1,\ldots,f_m}$ is a frame for the Hilbert space ${\mathcal H}$, then there exists a left inverse map $\omega:\mathbb{R}m\rightarrow {\mathcal H}$ that is Lipschitz continuous. Additionally we obtain the Lipschitz constant of this inverse map in terms of the lower Lipschitz constant of $\alpha$. Surprisingly the increase in Lipschitz constant is independent of the space dimension or frame redundancy.

Citations (7)

Summary

Paper to Video (Beta)

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

Collections

Sign up for free to add this paper to one or more collections.