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 “"subspace estimation"”.
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Krylov subspace estimation
… and experimentally. Variants of the proposed estimation algorithm are applied to two other statistical problems. The first is that of realization. Specifically, an iterative algorithm is developed for the simultaneous generation of a sample path of a given Gaussian random process and a …
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Subspace estimation for subspace-based magnetic resonance spectroscopic imaging
This Thesis was approved for publication on 2016-04-15 at 14:08.
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Economical sampling of parametric signals
… and low sampling rate enable accurate parameter estimation to be achieved economically. In present practice, sampling and estimation are not integrated: the sampling device does not take advantage of the parametric model, and the estimation assumes that noise in the data is signal-independent …
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A subspace approach to spectral quantification for MR spectroscopic imaging
… the spectral variations of each molecule as a subspace and the entire spectrum as a union-of-subspaces. The proposed model enables an efficient computational framework to quantify the unknown spectral parameters using both spectral and spatial prior information. Particularly, based on this …
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A subspace approach to accelerated cardiovascular magnetic resonance imaging
… arrhythmias. This dissertation describes a subspace approach to accelerate cardiovascular MRI, freeing cardiac MRI from gating techniques and enabling whole-heart 3D dynamic imaging for multiple simultaneous assessments. This imaging approach comprises developments in image modeling, data …
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Compressive Detection and Estimation with Applications to Cognitive Radio and Radar
… application of compressive sensing to clutter subspace estimation in cognitive radar is discussed. Space-Time Adaptive Processing (STAP) based on matched filter processing in the presence of additive clutter (modeled as colored noise) requires knowledge of the clutter covariance matrix. In …
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Efficient and guaranteed algorithms for sparse inverse problems
… proposed by Schmidt for the direction of arrival estimation problem in sensor array processing and later proposed and analyzed for joint sparse recovery by Feng and Bresler, provides a guarantee with the minimum number of measurements. We focus instead on the unfavorable but practically …