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学術論文

A fast algorithm for transposing large multidimensional image data sets

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Heel,  Marin van
Fritz Haber Institute, Max Planck Society;

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引用

Heel, M. v. (1991). A fast algorithm for transposing large multidimensional image data sets. Ultramicroscopy, 38(1), 75-83. doi:10.1016/0304-3991(91)90109-J.


引用: https://hdl.handle.net/21.11116/0000-0009-6D5E-5
要旨
A mixed-radix perfect shuffle algorithm is presented for transposing multidimensional matrices larger than the available high-speed memory. This problem occurs often during the analysis of large data sets such as used in electron microscopy, light microscopy, X-ray crystallography, multidimensional NMR spectroscopy, etc. In its twi-dimensional form, the mixed-radix perfect shuffle transposing algorithm is more general and/or faster than previous algorithms. It is simple to understand and to the reverse mixed-radix perfect shuffle algorithms may also be used to perform multidimensional Fourier transforms without actually transposing the data. With the three-dimensional version of the algorithm, Fourier transforms of up to, say, 512×512×512 sampling points can be performed on a standard 1991 workstation. With the new transposing algorithm, multidimensional Fourier transforms are typically limited by the available secondary data storage capacity rather than by the amount of available high-speed memory of the