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Online Model-Based Estimation for Automated Optical System Alignment and Phase Retrieval Algorithm

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개인저자Fang, Joyce.
단체저자명Cornell University. Mechanical Engineering.
서명/저자사항Online Model-Based Estimation for Automated Optical System Alignment and Phase Retrieval Algorithm.
발행사항[S.l.] : Cornell University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항163 p.
소장본 주기School code: 0058.
ISBN9780438342545
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Dmitry Savransky.
요약Online model-based estimation is applied to two major applications in optics: Automated optical component alignment and wavefront reconstruction with simultaneous system parameter estimation. Both applications utilize mechanical perturbation in
요약The first part of this study proposes a novel automated alignment method which improves efficiency and increases the flexibility of an optical system. Current optical systems with automated alignment capabilities are typically designed to includ
요약The second part of this study presents a novel algorithm for phase retrieval and optical system parameter estimation. Many wavefront reconstruction techniques estimate the amplitude and phase from multiple intensity measurements. One can generat
요약We modify and extend the system variable estimation method to serial phase retrieval algorithm. We present the use of iterated extended Kalman filter (IEKF) to estimate the system variables in a multiple-image phase retrieval framework. An itera
일반주제명Engineering.
Mechanical engineering.
언어영어
기본자료 저록Dissertation Abstracts International80-01B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14999698

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