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Author: Wooshik Kim

Affiliation: Sejong University, Korea, Republic of

Keyword(s): Phase retrieval problem, Fourier transform, Magnitude retrieval problem, Signal reconstruction.

Related Ontology Subjects/Areas/Topics: Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Telecommunications

Abstract: Phase retrieval problem is a problem of reconstructing a signal or the phase of Fourier transform of the signal from the magnitude of its Fourier transform. In this paper we address the problem of reconstructing an unknown signal from the magnitude of its Fourier transform and the magnitude of Fourier transform of another signal that is given by the addition of a known reference signal. In addition to a brief summary of the uniqueness conditions under which a signal can be uniquely specified from the given information, we present a simple justification that an iterative algorithm converges to the unknown original signal. And we compare three of the iterative algorithms developed so far.

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Paper citation in several formats:
Kim, W. (2010). COMPARISON AMONG ITERATIVE ALGORITHMS FOR PHASE RETRIEVAL. In Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2010) - SIGMAP; ISBN 978-989-8425-19-5, SciTePress, pages 112-117. DOI: 10.5220/0002980801120117

@conference{sigmap10,
author={Wooshik Kim.},
title={COMPARISON AMONG ITERATIVE ALGORITHMS FOR PHASE RETRIEVAL},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2010) - SIGMAP},
year={2010},
pages={112-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002980801120117},
isbn={978-989-8425-19-5},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2010) - SIGMAP
TI - COMPARISON AMONG ITERATIVE ALGORITHMS FOR PHASE RETRIEVAL
SN - 978-989-8425-19-5
AU - Kim, W.
PY - 2010
SP - 112
EP - 117
DO - 10.5220/0002980801120117
PB - SciTePress