Systematic synthesis of parallel architectures for the computation of higher order cumulants
Fine granularity parallel architectures for the efficient estimation of higher order statistics (HOS) are systematically derived in this paper. A unified methodology for constructing locally recursive algorithms and space–time linear mapping operators that lead to highly pipelined architectures cons...
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| Published in: | Parallel computing Vol. 26; no. 5; pp. 655 - 676 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
2000
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| Subjects: | |
| ISSN: | 0167-8191, 1872-7336 |
| Online Access: | Get full text |
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