DC FieldValueLanguage
dc.contributor.authorStanković, Radomiren
dc.contributor.authorKarpovsky, Marken
dc.date.accessioned2020-05-01T20:29:14Z-
dc.date.available2020-05-01T20:29:14Z-
dc.date.issued2005-01-01en
dc.identifier.isbn978-3-540-29002-8en
dc.identifier.issn0302-9743en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/2094-
dc.description.abstractThe paper considers calculation of autocorrelation functions on finite dyadic groups over decision diagrams, The methods exploit recursive structure of both autocorrelation matrices and decision diagrams. First, it is discussed calculation of the autocorrelation through the Wiener-Khinchin theorem implemented over decision diagrams. Then, it is proposed a method for calculation of separate autocorrelation coefficients over decision diagrams with permuted labels at the edges. For the case of restricted memory resources, a procedure with in-place calculations over the decision diagram for the function processed has been defined.en
dc.publisherSpringer Link-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en
dc.titleRemarks on calculation of autocorrelation on finite dyadic groups by local transformations of decision diagramsen
dc.typeArticleen
dc.relation.conference10th International Conference on Computer Aided Systems Theory - EUROCAST 2005; las Palmas de Gran Canaria; Spain; 7 February 2005 through 11 February 2005-
dc.identifier.doi10.1007/11556985_40-
dc.identifier.scopus2-s2.0-33645984822en
dc.relation.firstpage301en
dc.relation.lastpage310en
dc.relation.volume3643 LNCSen
dc.description.rankM22-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Show simple item record

SCOPUSTM   
Citations

8
checked on Jul 24, 2024

Page view(s)

36
checked on May 9, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.