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 6 of 6 for “"convolution model"”.
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The Generalised Gaussian Process Convolution Model
… formulates the Generalised Gaussian Process Convolution Model (GGPCM), which is a generalisation of the Gaussian Process Convolution Model presented by Tobar et al. [2015b]. The GGPCM provides a theoretical framework for nonparametric kernel models of multidimensional signals defined on …
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Characterization of a 6 MV photon beam in terms of primary and scattered dose components
… attenuation measurements, through the fit of a convolution model to CAPDD data and through a method involving a central axis attenuator. The primary dose component was determined in two ways, namely by the extrapolation of the phantom scatter correction factor to zero field size and also by the …
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Variants of compound models and their application to citation analysis
This thesis develops two variant statistical models for count data based upon compound models for contexts when the counts may be viewed as derived from two generations, which may or may not be independent. Unlike standard compound models, the variants model the sum of both generations. We consider …
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Modeling full-scale fire test behaviour of polyurethane foams using cone calorimeter data
… protection engineering correlations and thermal models have also been developed for the simulation of fire growth behaviour of polyurethane foams. Thus, the overall objective of this research project is to investigate the laboratory test behaviour of this material and then use finer modeling …
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Instrument Trade Studies for Satellite Remote Sensing of Ammonia
… is a challenge. Advances in radiative transfer modelling and radiometric instrument sensitivity have allowed for satellite NH3 observations to be performed by instruments such as NASA’s Tropospheric Emission Spectrometer and NASA’s Cross-track Infrared Sounder, but these instruments, and others …
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Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery
… for BIPs. We consider two types of BIPs, blind deconvolution (BD) and blind gain and phase calibration (BGPC), with subspace or sparsity structures. Our contributions are twofold: we derive optimal identifiability conditions, and propose efficient algorithms that solve these problems. In previous …