Eigenvalues of Random Matrices with Isotropic Gaussian Noise and the Design of Diffusion Tensor Imaging Experiments
DOI10.1137/16M1098693zbMath1408.94196arXiv1707.06953OpenAlexW2963411611WikidataQ42275345 ScholiaQ42275345MaRDI QIDQ3130755
Sinisa Pajevic, Dario Gasbarra, Peter J. Basser
Publication date: 26 January 2018
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1707.06953
asymptoticsspherical \(t\)-designsphericity testGaussian orthogonal ensembleDTIeigenvalue and eigenvector distributionsingular hypothesis testing
Asymptotic distribution theory in statistics (62E20) Optimal statistical designs (62K05) Central limit and other weak theorems (60F05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
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