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Optimal depth estimation using modified Kalman filter in the presence of non-Gaussian jitter noise.

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Title: Optimal depth estimation using modified Kalman filter in the presence of non-Gaussian jitter noise.
Authors: Jang HS; Signal and Image Processing Lab, School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea., Muhammad MS; Mechatronics Systems Design Lab, School of Electronic and Electrical Engineering, College of Information and Communication, Natural Sciences Campus, Sungkyunkwan University, Suwon, Republic of Korea., Choi TS; Signal and Image Processing Lab, School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Source: Microscopy research and technique [Microsc Res Tech] 2019 Mar; Vol. 82 (3), pp. 224-231. Date of Electronic Publication: 2018 Dec 23.
Publication Type: Letter
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9203012 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0029 (Electronic) Linking ISSN: 1059910X NLM ISO Abbreviation: Microsc Res Tech Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Optimal depth estimation using modified Kalman filter in the presence of non-Gaussian jitter noise.
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  Data: <searchLink fieldCode="AU" term="%22Jang+HS%22">Jang HS</searchLink>; Signal and Image Processing Lab, School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Muhammad+MS%22">Muhammad MS</searchLink>; Mechatronics Systems Design Lab, School of Electronic and Electrical Engineering, College of Information and Communication, Natural Sciences Campus, Sungkyunkwan University, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+TS%22">Choi TS</searchLink>; Signal and Image Processing Lab, School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%229203012%22">Microscopy research and technique</searchLink> [Microsc Res Tech] 2019 Mar; Vol. 82 (3), pp. 224-231. <i>Date of Electronic Publication: </i>2018 Dec 23.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Liss%22">Wiley-Liss </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9203012 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1097-0029 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221059910X%22">1059910X </searchLink><i>NLM ISO Abbreviation: </i>Microsc Res Tech <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1002/jemt.23162
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      – Code: eng
        Text: English
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        StartPage: 224
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      – TitleFull: Optimal depth estimation using modified Kalman filter in the presence of non-Gaussian jitter noise.
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            NameFull: Jang HS
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            NameFull: Muhammad MS
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            – D: 01
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              Text: 2019 Mar
              Type: published
              Y: 2019
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              Value: 82
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            – TitleFull: Microscopy research and technique
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