COMPARISON AMONG ITERATIVE ALGORITHMS FOR PHASE RETRIEVAL

Wooshik Kim

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.

References

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Paper Citation


in Harvard Style

Kim W. (2010). COMPARISON AMONG ITERATIVE ALGORITHMS FOR PHASE RETRIEVAL . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010) ISBN 978-989-8425-19-5, pages 112-117. DOI: 10.5220/0002980801120117


in Bibtex Style

@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 - Volume 1: SIGMAP, (ICETE 2010)},
year={2010},
pages={112-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002980801120117},
isbn={978-989-8425-19-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010)
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