Presentation 2006-01-24
An Information-Based Approach to Phase Retrieval
Hiroyuki SHIOYA, Kouta KAWAHARA, Kazutoshi GOHARA,
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Abstract(in English) Phase retrieval is to recover the Fourier phase information using intensity measurements, which are made by the diffraction from unknown target object. The object function is estimated by recovering the phase information in the Fourier-domain. This is said to be an optimization problem. Phase retrieval has been used in various scientific fields widely, astronomy, crystallography and so on. In this article, we review phase retrieval problems including some related results and mention about the representation of phase retrieval and Then we introduce an ensemble-type architecture to phase retrieval as an information-based approach, and the effectiveness of our method is shown.
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Keyword(in English) Phase retrieval / information-based learning / ensemble learning
Paper # NC2005-101
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Committee NC
Conference Date 2006/1/17(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Information-Based Approach to Phase Retrieval
Sub Title (in English)
Keyword(1) Phase retrieval
Keyword(2) information-based learning
Keyword(3) ensemble learning
1st Author's Name Hiroyuki SHIOYA
1st Author's Affiliation Faculty of Engineering, Muroran Institute of Technology()
2nd Author's Name Kouta KAWAHARA
2nd Author's Affiliation Dep. of Information Engineering, Graduate School of of Engineering, Muroran Institute of Technology
3rd Author's Name Kazutoshi GOHARA
3rd Author's Affiliation Dep. of Applied Physics, Graduate School of Engineering, Hokkaido Univ.
Date 2006-01-24
Paper # NC2005-101
Volume (vol) vol.105
Number (no) 544
Page pp.pp.-
#Pages 6
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