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A new algorithm for singular value decomposition and its parallelization

✍ Scribed by Taro Konda; Yoshimasa Nakamura


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
330 KB
Volume
35
Category
Article
ISSN
0167-8191

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## Abstract The problem of handling data that falls on a nonequally spaced grid occurs in numerous fields of science, ranging from radio‐astronomy to medical imaging. In MRI, this condition arises when sampling under time‐varying gradients in sequences such as echo‐planar imaging (EPI), spiral scan