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 5 of 5 for “"Regularized inversion"”.
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Microphysical retrieval of non-spherical aerosol particles using regularized inversion of multi-wavelength lidar data
… to retrieve the size distribution through the inversion of the so-called Lorenz-Mie model (LMM). This model offers a reasonable treatment for spherically approximated particles, it no longer provides, though, a viable description for other naturally occurring arbitrarily shaped particles, such …
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Incorporating prior information into geophysical inversion: from regularized inversion of thermal data to a framework using conditional variational autoencoders
Geophysical inversion provides physical property models which are essential to understanding and characterizing the subsurface. However, traditional inversion methods recover models with smooth features that do not resemble geologic structures. Incorporating prior information into inversion can …
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Post-beamforming filtering for enhanced contrast resolution in medical ultrasound.
… array) with coefficients obtained from the regularized inversion of the 2D Fourier transform of the 2D point spread function of the array. This is highly significant due to the fact that direct inversion of the imaging matrix for a typical HFUS imaging scenario requires on the order of 100T …
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Multi-dimensional computational imaging from diffraction intensity using deep neural networks
… information from diffraction intensities with a regularized inversion using deep neural networks for two- and three-dimensional applications. The inversion process begins with the definition of a forward physical model that relates a diffraction intensity to a phase object and then involves a …
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Sequential bayesian filtering for spatial arrival time estimation
… field for source localization and environmental inversion have been proposed. The focus here is on inversion using arrival times of identified paths within recorded time-series. After a short study of a linearization techniques employing such features and numerical issues on their implementation, …