Global ETD Search

221	Sigma-Point Kalman filters for probabilistic inference in dynamic state-space models / Van der Merwe, Rudolph. January 2004 (has links) Thesis (Ph. D.)--OGI School of Science & Engineering at OHSU, 2004. / Includes bibliographical references (leaves 327-344).
222	GFP-based sensing and state estimation in transgenic plant cell culture / Lu, Wei-Bin, January 2002 (has links) Thesis (Ph. D.)--University of Missouri-Columbia, 2002. / Typescript. Vita. Includes bibliographical references (leaves 199-213). Also available on the Internet.
223	GFP-based sensing and state estimation in transgenic plant cell culture Lu, Wei-Bin, January 2002 (has links) Thesis (Ph. D.)--University of Missouri-Columbia, 2002. / Typescript. Vita. Includes bibliographical references (leaves 199-213). Also available on the Internet.
224	Interpreting and forecasting the semiconductor industry cycle Liu, Wenxian, January 2002 (has links) Thesis (Ph. D.)--University of Missouri-Columbia, 2002. / Typescript. Vita. Includes bibliographical references (leaves 79-81). Also available on the Internet.
225	Learning in short-time horizons with measurable costs / Mullen, Patrick B. January 2006 (has links) (PDF) Thesis (M.S.)--Brigham Young University. Dept. of Computer Science, 2006. / Includes bibliographical references (p. 93-96).
226	Dynamic feature space modelling, filtering and self-tuning control of stochastic systems a systems approach with economc and social applications / Otter, Pieter W. January 1900 (has links) Thesis (Ph. D.)--Rijksuniversiteit te Groningen. / At head of title: Rijksuniversiteit te Groninge. Summary in Dutch. Parts of this thesis are based on material originally appearing in Statistica Neerlandica, 1978, Automatica, 1981 and the proceedings of Dynamic Modelling and Control of National Economics 1981 ... Includes index. Bibliography: p. 153-159.
227	Calibration, characterization, and linear quadratic Gaussian estimation of sensor feedback signals for a novel ocean wave energy linear test bed / Haller, Christopher A. January 1900 (has links) Thesis (M.S.)--Oregon State University, 2011. / Printout. Includes bibliographical references (leaves 115-116). Also available on the World Wide Web.
228	Essays on open market operations, the maturity composition of the public debt, and the term structure Kopchak, Seth J. January 2010 (has links) Thesis (Ph. D.)--West Virginia University, 2010. / Title from document title page. Document formatted into pages; contains vii, 138 p. : ill. Includes abstract. Includes bibliographical references (p. 128-132).
229	Real time estimation of ship motions using Kalman filtering techniques January 1983 (has links) Michael S. Triantafyllou, Marc Bodson, Michael Athans. / Caption title. / Bibliography: p. 19-20. / Ames Research Center Grant NGL-22-009-124 TK7855.M41 E3845 no.1280 Kalman filtering Landing aids (Aeronautics) Destroyers (Warships)
230	Structure from motion estimation using a nonlinear Kalman filter Venter, Chris (Christian Johannes) 12 1900 (has links) Thesis (MScEng)--University of Stellenbosch, 2002. / ENGLISH ABSTRACT: Structure from Motion is defined as the problem of extracting the 3d motion of a camera moving through a scene, as well as the 3d structure of the scene, from the image sequence produced by the camera over time. Several methods based on the Kalman filter have been proposed in the past, mostly based on the Extended Kalman filter. We propose an algorithm based on the dual Unscented Kalman filter to estimate the structure and motion of an object under perspective projection. It is shown that the algorithm is stable and accurate under synthetic as well as real-world conditions. / AFRIKAANSE OPSOMMING: Struktuur vanuit Beweging is 'n rekenaar-visie probleem waarin die 3d beweging van 'n kamera deur 'n ruimte, asook die 3d struktuur van die ruimte, bepaal moet word slegs vanuit die 2d beelde in die beeldreeks wat deur die kamera geneem word. 'n Verskeie reeks oplossings, gebaseer op die Kalman filter, is reeds voorgestelom die probleem op te los. Meeste van die oplossings implementeer die "Extended Kalman filter", of EKF. Ons stel 'n algoritme voor, gebaseer op 'n nuwe nie-lineêre benadering tot die Kalman filter, die sogenaamde "Unscented Kalman filter", of UKF. Hierdie algoritme bepaal die struktuur en beweging onder 'n perspektief-projeksie kamera. Daar word getoon dat die algoritme stabiel en akkuraat funskioneer onder sintetiese sowel as reële toevoer. Kalman filtering Computer vision Image processing Dissertations -- Electronic engineering Theses -- Electronic engineering

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