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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Bibliographic Details
Published in:Parallel computing Vol. 26; no. 5; pp. 655 - 676
Main Authors: Manolakos, Elias S., Stellakis, Haris M.
Format: Journal Article
Language:English
Published: Elsevier B.V 2000
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ISSN:0167-8191, 1872-7336
Online Access:Get full text
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