DocumentCode
542002
Title
Comparison among iterative algorithms for phase retrieval
Author
Kim, Wooshik
Author_Institution
Sejong University, Seoul, 143-747, Republic of Korea
fYear
2010
fDate
26-28 July 2010
Firstpage
112
Lastpage
117
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.
Keywords
Additives; Algorithm design and analysis; Equations; Fourier transforms; Image reconstruction; Iterative methods; Noise; Fourier transform; Magnitude retrieval problem; Phase retrieval problem; Signal reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Multimedia Applications (SIGMAP), Proceedings of the 2010 International Conference on
Conference_Location
Athens, Greece
Electronic_ISBN
978-989-8425-19-5
Type
conf
Filename
5742550
Link To Document