Presentation 2018-03-27
Sequential Bayesian filters with high order Markov chains for time series phase unwrapping
Hiroaki Umehara, Masato Okada, Yasushi Naruse,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # CCS2017-39
Date of Issue 2018-03-19 (CCS)

Conference Information
Committee CCS
Conference Date 2018/3/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokyo Univ. of Sci. (Morito Memorial Hall)
Topics (in Japanese) (See Japanese page)
Topics (in English) Natural Computing, etc.
Chair Naoki Wakamiya(Osaka Univ.)
Vice Chair Mikio Hasegawa(Tokyo Univ. of Science) / Makoto Naruse(NICT)
Secretary Mikio Hasegawa(Osaka Univ.) / Makoto Naruse(Tokyo City Univ.)
Assistant Chisa Takano(Hirishima City Univ.) / Takashi Shimada(Univ. of Tokyo) / Tomoya Suzuki(Ibaraki Univ.) / Ryo Takahashi(AUT)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sequential Bayesian filters with high order Markov chains for time series phase unwrapping
Sub Title (in English)
Keyword(1)
1st Author's Name Hiroaki Umehara
1st Author's Affiliation Center for Information and Neural Networks, NICT and Osaka University(CiNet)
2nd Author's Name Masato Okada
2nd Author's Affiliation The University of Tokyo(UTokyo)
3rd Author's Name Yasushi Naruse
3rd Author's Affiliation Center for Information and Neural Networks, NICT and Osaka University(CiNet)
Date 2018-03-27
Paper # CCS2017-39
Volume (vol) vol.117
Number (no) CCS-520
Page pp.pp.39-44(CCS),
#Pages 6
Date of Issue 2018-03-19 (CCS)