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Improved Architecture of FDTD/FIT Dedicated Computer for Higher Performance Computation

โœ Scribed by Kawaguchi, H.; Fujita, Y.; Fujishima, Y.; Matsuoka, S.

Book ID
114652376
Publisher
IEEE
Year
2008
Tongue
English
Weight
703 KB
Volume
44
Category
Article
ISSN
0018-9464

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Fine granularity parallel architectures for the ecient estimation of higher order statistics (HOS) are systematically derived in this paper. A uniยฎed methodology for constructing locally recursive algorithms and spaceยฑtime linear mapping operators that lead to highly pipelined architectures consisti