Matches in SemOpenAlex for { <https://semopenalex.org/work/W2010015241> ?p ?o ?g. }
- W2010015241 endingPage "686" @default.
- W2010015241 startingPage "679" @default.
- W2010015241 abstract "The problem of detecting the similarity between noisy signals obtained from electronic instrument measurements arises in several different contexts and it is approached with specific strategies accordingly. In this paper we propose a simple and general method for the comparison of noisy signals of different lengths. Assuming any a-priori knowledge about two noisy signals, their degree of similarity can be detected by computing the global alignment that maximizes their Pearson correlation. The Pearson correlation coefficient is a widely used measure of linear dependence between two random variables of the same length. The optimal alignment of two signals with respect to the Pearson correlation identifies the sub-regions of the two signals that exhibit the highest pairwise degree of similarity. We show that the optimal alignment of two signals by maximization of the Pearson correlation can be computed in (quadratic) polynomial-time by a simple application of the Needleman–Wunsch algorithm. Our approach can be used for the comparison of one-dimensional signals, multi-dimensional signals and multiple-alignments of (one-dimensional or multi-dimensional) signals." @default.
- W2010015241 created "2016-06-24" @default.
- W2010015241 creator A5055593623 @default.
- W2010015241 creator A5061123241 @default.
- W2010015241 date "2010-07-01" @default.
- W2010015241 modified "2023-09-25" @default.
- W2010015241 title "Optimal global alignment of signals by maximization of Pearson correlation" @default.
- W2010015241 cites W1969153299 @default.
- W2010015241 cites W2002638840 @default.
- W2010015241 cites W2035239012 @default.
- W2010015241 cites W2050802973 @default.
- W2010015241 cites W2053663417 @default.
- W2010015241 cites W2074231493 @default.
- W2010015241 cites W2087064593 @default.
- W2010015241 cites W2095581275 @default.
- W2010015241 cites W2097026117 @default.
- W2010015241 cites W2106017862 @default.
- W2010015241 cites W2114320077 @default.
- W2010015241 cites W2128613007 @default.
- W2010015241 cites W2130947713 @default.
- W2010015241 cites W2163284282 @default.
- W2010015241 cites W4236706032 @default.
- W2010015241 doi "https://doi.org/10.1016/j.ipl.2010.05.024" @default.
- W2010015241 hasPublicationYear "2010" @default.
- W2010015241 type Work @default.
- W2010015241 sameAs 2010015241 @default.
- W2010015241 citedByCount "32" @default.
- W2010015241 countsByYear W20100152412012 @default.
- W2010015241 countsByYear W20100152412013 @default.
- W2010015241 countsByYear W20100152412014 @default.
- W2010015241 countsByYear W20100152412015 @default.
- W2010015241 countsByYear W20100152412016 @default.
- W2010015241 countsByYear W20100152412017 @default.
- W2010015241 countsByYear W20100152412019 @default.
- W2010015241 countsByYear W20100152412020 @default.
- W2010015241 countsByYear W20100152412021 @default.
- W2010015241 countsByYear W20100152412022 @default.
- W2010015241 countsByYear W20100152412023 @default.
- W2010015241 crossrefType "journal-article" @default.
- W2010015241 hasAuthorship W2010015241A5055593623 @default.
- W2010015241 hasAuthorship W2010015241A5061123241 @default.
- W2010015241 hasConcept C103278499 @default.
- W2010015241 hasConcept C105795698 @default.
- W2010015241 hasConcept C111472728 @default.
- W2010015241 hasConcept C11413529 @default.
- W2010015241 hasConcept C115961682 @default.
- W2010015241 hasConcept C117220453 @default.
- W2010015241 hasConcept C121694360 @default.
- W2010015241 hasConcept C126255220 @default.
- W2010015241 hasConcept C129844170 @default.
- W2010015241 hasConcept C138885662 @default.
- W2010015241 hasConcept C153180895 @default.
- W2010015241 hasConcept C154945302 @default.
- W2010015241 hasConcept C184898388 @default.
- W2010015241 hasConcept C2524010 @default.
- W2010015241 hasConcept C2776330181 @default.
- W2010015241 hasConcept C2780092901 @default.
- W2010015241 hasConcept C2780586882 @default.
- W2010015241 hasConcept C33923547 @default.
- W2010015241 hasConcept C41008148 @default.
- W2010015241 hasConcept C55078378 @default.
- W2010015241 hasConcept C75553542 @default.
- W2010015241 hasConceptScore W2010015241C103278499 @default.
- W2010015241 hasConceptScore W2010015241C105795698 @default.
- W2010015241 hasConceptScore W2010015241C111472728 @default.
- W2010015241 hasConceptScore W2010015241C11413529 @default.
- W2010015241 hasConceptScore W2010015241C115961682 @default.
- W2010015241 hasConceptScore W2010015241C117220453 @default.
- W2010015241 hasConceptScore W2010015241C121694360 @default.
- W2010015241 hasConceptScore W2010015241C126255220 @default.
- W2010015241 hasConceptScore W2010015241C129844170 @default.
- W2010015241 hasConceptScore W2010015241C138885662 @default.
- W2010015241 hasConceptScore W2010015241C153180895 @default.
- W2010015241 hasConceptScore W2010015241C154945302 @default.
- W2010015241 hasConceptScore W2010015241C184898388 @default.
- W2010015241 hasConceptScore W2010015241C2524010 @default.
- W2010015241 hasConceptScore W2010015241C2776330181 @default.
- W2010015241 hasConceptScore W2010015241C2780092901 @default.
- W2010015241 hasConceptScore W2010015241C2780586882 @default.
- W2010015241 hasConceptScore W2010015241C33923547 @default.
- W2010015241 hasConceptScore W2010015241C41008148 @default.
- W2010015241 hasConceptScore W2010015241C55078378 @default.
- W2010015241 hasConceptScore W2010015241C75553542 @default.
- W2010015241 hasIssue "16" @default.
- W2010015241 hasLocation W20100152411 @default.
- W2010015241 hasOpenAccess W2010015241 @default.
- W2010015241 hasPrimaryLocation W20100152411 @default.
- W2010015241 hasRelatedWork W1996619012 @default.
- W2010015241 hasRelatedWork W2063211108 @default.
- W2010015241 hasRelatedWork W2224266033 @default.
- W2010015241 hasRelatedWork W2315336446 @default.
- W2010015241 hasRelatedWork W2339129891 @default.
- W2010015241 hasRelatedWork W3009865305 @default.
- W2010015241 hasRelatedWork W3013810674 @default.
- W2010015241 hasRelatedWork W3081640970 @default.
- W2010015241 hasRelatedWork W3096637473 @default.
- W2010015241 hasRelatedWork W767986786 @default.
- W2010015241 hasVolume "110" @default.