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 8 of 8 for “"Ill-posed inverse problems"”.
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Improved estimation of Fourier coefficients for ill-posed inverse problems
<p>In this dissertation we present and solve an ill-posed inverse problem which involves reproducing a function f(x) or its Fourier coefficients from the observed values of the function. The observations of the f(x) are made at n equidistant points on the unit interval with p observations being …
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On existence, stability, accuracy and learning of approximate decoders for ill-posed inverse problems
… computing, in particular also in the field of inverse problems. In inverse problems, for example in imaging AI based methods seemingly achieve higher reconstruction accuracy than standard methods, such as compressed sensing. However, trustworthiness has become a serious issue as there is …
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On the Use of Arnoldi and Golub-Kahan Bases to Solve Nonsymmetric Ill-Posed Inverse Problems
… linear systems of equations. In the context of ill-posed inverse problems, they tend to exhibit semiconvergence behavior making it difficult detect ``inverted noise" and stop iterations before solutions become contaminated. Regularization methods such as spectral filtering methods use the …
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Advanced applications in wide-area impedance sensing
… Algorithms for image reconstruction from such ill-posed inverse problems are discussed and improvements are made. Hyperspectral techniques for extracting the occupancy values of various materials are shown. Finally, future experiments using this sensor for gesture sensing and as a purely …
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Row-Action Methods for Massive Inverse Problems
… applications have seen the rise of massive inverse problems, where there are too much data to implement an all-at-once strategy to compute a solution. Additionally, tools for regularizing ill-posed inverse problems are infeasible when the problem is too large. This thesis focuses on the …
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A computational framework for emotion understanding
… a model-based solution to a large class of ill-posed inverse problems. To interpret someone's expression, or predict how that person would react in a future situation, observers reason over a logically- and causally-structured intuitive theory of other minds. For this work, I chose a domain …
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INVERSE METHOD FOR DETERMINING TEMPERATURE DISTRIBUTION IN MACHINING
… The problem of estimating cutting temperatures will be simplified by only focusing on modelling the tool, not including the chip and the workpiece. The present problem is an inverse heat conduction problem which is much more difficult to solve than the direct one due to its ill-posed nature, that …
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Identification and Estimation with Deconfounded Instruments
… model, with its simplicity, is often used for illustrative purposes, all identification frameworks in this thesis are semiparameric, featuring a low-dimensional causal effect or parameter of interest and nonparametric nuisance functions. This research explores three principal frameworks for …