Phase Retrieval for L^2([-π,π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements

06/04/2021
by   Mark A. Iwen, et al.
0

In this paper, we focus on the approximation of smooth functions f: [-π, π] →ℂ, up to an unresolvable global phase ambiguity, from a finite set of Short Time Fourier Transform (STFT) magnitude (i.e., spectrogram) measurements. Two algorithms are developed for approximately inverting such measurements, each with theoretical error guarantees establishing their correctness. A detailed numerical study also demonstrates that both algorithms work well in practice and have good numerical convergence behavior.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/20/2019

Phase retrieval for sub-Gaussian measurements

Generally, phase retrieval problem can be viewed as the reconstruction o...
research
07/24/2019

Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization

We propose a two-step approach for reconstructing a signal x∈C^d from s...
research
06/21/2023

Accelerated Griffin-Lim algorithm: A fast and provably converging numerical method for phase retrieval

The recovery of a signal from the magnitudes of its transformation, like...
research
09/13/2022

No existence of linear algorithm for Fourier phase retrieval

Fourier phase retrieval, which seeks to reconstruct a signal from its Fo...
research
01/27/2022

Total variation-based phase retrieval for diffraction tomography

In optical diffraction tomography (ODT), the three-dimensional scatterin...
research
11/01/2020

Efficient Solutions for the Multidimensional Sparse Turnpike Problem

The turnpike problem of recovering a set of points in ℝ^D from the set o...
research
12/20/2021

Toward Fast and Provably Accurate Near-field Ptychographic Phase Retrieval

Ptychography is an imaging technique which involves a sample being illum...

Please sign up or login with your details

Forgot password? Click here to reset