SVD for imaging systems with discrete rotational symmetry

Dataset

Description

The singular value decomposition (SVD) of an imaging system is a computationally intensive calculation for tomographic imaging systems due to the large dimensionality of the system matrix. The computation often involves memory and storage requirements b...
Date made available2010
Publisherfigshare

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