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Input magnitude data setting in error-reduction algorithm for one-dimensional discrete phase retrieval problem

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationISSCS 2019 - International Symposium on Signals, Circuits and Systems
PublisherIEEE
ISBN (Electronic)9781728138961
DOIs
Publication statusPublished - 1 Jul 2019
Publication typeA4 Article in a conference publication
EventInternational Symposium on Signals, Circuits and Systems - Iasi, Romania
Duration: 11 Jul 201912 Jul 2019

Conference

ConferenceInternational Symposium on Signals, Circuits and Systems
CountryRomania
CityIasi
Period11/07/1912/07/19

Abstract

In this paper we discuss how does the input magnitude data setting influence the behavior of error-reduction algorithm in the case of the one-dimensional discrete phase retrieval problem. We present experimental results related to the convergence or stagnation of the algorithm. We also discuss the issue of the zeros distribution of the solution, when the solution of the problem exists.