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20112026
most citedPhaseless Rcovery using Gauss-Newton Method

67 citations · 140 across the 10 of their papers we have counts for

collaborators

10 papers

cs.IT2026

The Fusion Frame Phase Retrieval

Haixia Liu, Bing Gao, Yang Wang

The phase retrieval problem involves reconstructing a function or signal solely from the magnitude of linear measurements. Most theoretical analyses of phase retrieval algorithms r…

cs.IT2022

Affine Phase Retrieval via Second-Order Methods

Bing Gao

In this paper, we study the affine phase retrieval problem, which aims to recover signals from the magnitudes of affine measurements. We develop second-order optimization methods b…

math.DS2020

On fair entropy of the tent family

Bing Gao, Rui Gao

The notions of fair measure and fair entropy were introduced by Misiurewicz and Rodrigues recently, and discussed in detail for piecewise monotone interval maps. In particular, the…

math.OC2019★ 2 cited

Phase retrieval for sub-Gaussian measurements

Bing Gao, Haixia Liu, Yang Wang

Generally, phase retrieval problem can be viewed as the reconstruction of a function/signal from only the magnitude of the linear measurements. These measurements can be, for examp…

math.NA2019★ 24 cited

Perturbed Amplitude Flow for Phase Retrieval

Bing Gao, Xinwei Sun, Yang Wang +1

In this paper, we propose a new non-convex algorithm for solving the phase retrieval problem, i.e., the reconstruction of a signal $ \vx\in\H^n $ ( or $\C$) from phaseless s…

cs.IT2016★ 4 cited

Phase Retrieval From the Magnitudes of Affine Linear Measurements

Bing Gao, Qiyu Sun, Yang Wang +1

In this paper, we consider the phase retrieval problem in which one aims to recover a signal from the magnitudes of affine measurements. Let $\{{\mathbf a}_j\}_{j=1}^m \subset {\ma…

math.NA2016

The -analysis with redundant dictionary in phase retrieval

Bing Gao

This article presents new results concerning the recovery of a signal from magnitude only measurements where the signal is not sparse in an orthonormal basis but in a redundant dic…

cs.IT2016★ 67 cited

Phaseless Rcovery using Gauss-Newton Method

Bing Gao, Zhiqiang Xu

In this paper, we develop a concrete algorithm for phase retrieval, which we refer to as Gauss-Newton algorithm. In short, this algorithm starts with a good initial estimation, whi…

math.FA2015★ 19 cited

Stable Signal Recovery from Phaseless Measurements

Bing Gao, Yang Wang, Zhiqiang Xu

The aim of this paper is to study the stability of the minimization for the compressive phase retrieval and to extend the instance-optimality in compressed sensing to the…

math.DS2011★ 24 cited

Summability implies Collet-Eckmann almost surely

Bing Gao, Weixiao Shen

We provide a strengthened version of the famous Jakobson's theorem. Consider an interval map satisfying a summability condition. For a generic one-parameter family of map…