Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Geostatistical interpolation"”.
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Part I: Geostatistical Interpolation of Rain Fields Using Radar Estimates and Gauge Observations: Algorithm Design and Automation; Part II: Energy Dissipation in Fluid Flows and Wave Transformation by Porous Barriers and Submerged Cavities
… part aims to improve the accuracy of rain field interpolation with the utilization of radar rainfall during extreme storm events for a study watershed. The second part studies the head loss induced by fluids passing through porous screens and the wave transformation caused by porous barriers as …
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Spatial modeling for periodic surfaces in manufacturing
… data is generally expensive and time-consuming. Interpolation based on spatial models is a typical approach to cost-effectively acquire high-resolution data. However, conventional modeling methods fail to adequately model the spatial correlation induced by periodicity, and thus their …
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wavelet domain inversion and joint deconvolution/interpolation of geophysical data
… for combining linear deconvolution methods with geostatistical interpolation techniques. This allows for sparsely sampled data to aid in image deblurring problems, or, conversely, noisy and blurred data to aid in sample interpolation. In order to overcome difficulties arising from high …
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Energy allocation and transmission scheduling for wireless and space communications
… for combining linear deconvolution methods with geostatistical interpolation techniques. This allows for sparsely sampled data to aid in image deblurring problems, or, conversely, noisy and blurred data to aid in sample interpolation. In order to overcome difficulties arising from high …
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Legacy soil contamination by crude oil from the First Gulf War : geochemical characteristics, spatial pattern and environmental risk
… to the presence of a liner. The application of geostatistical interpolation techniques to the development of 3-D predictive models for the investigated sites suggests that this approach is appropriate for 3-D mapping of the soil-borne petroleum hydrocarbons.There was no evidence to show that …
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Scalable learning for geostatistics and speaker recognition
… regression problem, and one of the most popular geostatistical interpolation techniques, kriging is analogous to a standard kernel method: Gaussian process regression. Kriging is computationally expensive and needs major modifications and accelerations in order to be used practically. The GPU …
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Advanced Methods for the Analysis of Radar Sounder Data Acquired at the Ice Sheets
… altimeter (ALT) data, and relies on the use of a geostatistical interpolation method and on several statistical measures for validating the interpolation results and the quality of interpolation. The fourth contribution presents a technique for the automatic estimation of radar power losses in ice …