- About
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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 71 to 80 of 2099 (0.056 seconds)| 71 |
Nonlinear estimationReynard, D. M. January 1993 (has links)
No description available.
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| 72 |
The fluid mechanics of filtersHildyard, M. L. January 1988 (has links)
No description available.
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| 73 |
The design, evaluation and realisation of microwave filtersChambers, D. S. G. January 1988 (has links)
No description available.
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| 74 |
A study of the higher-frequency performance of operational-amplifier analogue filters : active-RC and active-R filter sections using integrated operational amplifiers are investigated up to the medium frequency communications band by consideration ofO'Carroll, A. P. January 1986 (has links)
No description available.
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| 75 |
Structural and transport properties in some superionic conductors, acousto-optic materials and titanite frameworksKennedy, Kevin Martin January 1997 (has links)
No description available.
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| 76 |
The trapping of radioiodine in the form of methyl iodide, on charcoal impregnated with potassium iodideNacapricha, Duangjai January 1993 (has links)
No description available.
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| 77 |
A frequency response method for sensor suite selection with an application to high-speed vehicle navigationCooper, Simon January 1996 (has links)
No description available.
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| 78 |
Novel superconducting microwave filters for wireless communicationsPal, Srikanta January 2003 (has links)
No description available.
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| 79 |
Surface acoustic wave neural networks for RF signal processingKavalov, Dimitar A. January 2002 (has links)
No description available.
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| 80 |
Underwater Positioning of an ROV Using Side-Mounted SonarsFerm, Erik January 2014 (has links)
Unmanned vehicles being used more and more for tasks that need to be done in environ- ments that are hard to access, or dangerous for humans. Because the vehicles are unmanned they need some way of conveying information to the operator about where it is located. In some cases visual feedback to the operator might be enough, but in environments with low visibility other techniques are required. This thesis will address the issue of localization in an underwater environment by means of side-scan sonars and an inertial measurement unit (IMU). It will explore whether it is possible to localize a remotely operated vehicle (ROV) in a known environment by fusing data from the different sensors. A particle filter is applied to the translational motion of the ROV and an extended kalman filter is used to estimate the vehicles attitude. The focus of the thesis lies in statistical mod- eling and simulation of the ROV and its sensors rather than in validation and testing in the physical realm. Results show that a particle filter localization is plausible in environments given varied enough readings. For cases where measurements are similar, such as close to the floor of a pool the filter tends to diverge.
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