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. |
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| 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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| ISSN: | 1097-0029 |
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| DOI: | 10.1002/jemt.23162 |
