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- W1137696290 abstract "Signals describing the energy levels of quantum mechanical systems are, by definition, sparsein the energy domain. Processing these signals via sparsity promoting methods is thusreasonable and, as this dissertation argues, valuable.Quantum mechanical energy levels are determined experimentally through NMR spec-troscopy where noise, peak blurring, and long experiment times impede progress. We showhow l1-penalized optimization can lead to improved signal quality and reduce data acquisi-tion time in NMR spectroscopy.Quantum mechanical signal processing is central to MRI reconstruction. MRI data ac-quisition and reconstruction is highly time-consuming and expensive. We provide a fastconverging algorithm based on minimizing a combination total variation and framelet normswhich produces high-quality images from undersampled MRI data.In the field of numerical analysis, all the eigenvalues of a Hermitian matrix may be com-puted by simulating a fictitious quantum dynamical system with Hamiltonian correspondingto the matrix of interest and then determining the energy levels of this fictitious system. Bydetermining the energy levels with l1-penalized optimization we show that the number ofsimulation steps can be significantly reduced.Quantum mechanical systems have spatial components as well. When the spatial domain is partitioned according to the location of potential wells, one often finds low-energywavefunctions tend to localize within the confines of each partition. For a given partition,the energy levels of its corresponding localized wavefunctions often make up only a smallfraction of the complete range of energy levels. For situations where only a few eigenpairsare sought we introduce a projection-correction method allowing us to efficiently computeonly the low-energy eigenpairs which localize within a given spatial partition. In contrast tostandard methods for eigenvalue computation which specify only a part of the spectrum, ourmethod also allows one to isolate regions of space where prior information on eigenfunctionlocality is known." @default.
- W1137696290 created "2016-06-24" @default.
- W1137696290 creator A5025860046 @default.
- W1137696290 date "2012-01-01" @default.
- W1137696290 modified "2023-09-23" @default.
- W1137696290 title "Sparsity promoting optimization in quantum mechanical signal processing" @default.
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- W1137696290 hasPublicationYear "2012" @default.
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