Document Detail


Modulated oscillations in many dimensions.
MedLine Citation:
PMID:  23277608     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Modulated oscillations are described via their time-varying amplitude and frequency. For multivariate signals, there is structure in the signal beyond this local amplitude and frequency defined for each signal component, in turn describing the commonality of the components. The multivariate structure encodes how the common oscillation is present in each component signal. This structure will also be evolving. I review the special case of the representation of both bivariate and trivariate oscillations. Additionally, existing results on the general multivariate oscillation are covered. I discuss the difference between a model of a multivariate oscillation compared with other common signal models of phenomena observed in several channels, and how their properties are different. I show how for the multivariate signal the global dimensionality of the signal is built up from local one-dimensional contributions, and introduce the purely unidirectional signal, to quantify how any given signal is different from the closest such signal. I illustrate the properties of the derived representation of the multivariate signal with synthetic examples, and discuss the representation of data from observations in physical oceanography.
Authors:
S C Olhede
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-12-31
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  371     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-01     Completed Date:  2013-03-07     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  20110551     Citation Subset:  IM    
Affiliation:
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK. s.olhede@ucl.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Biological Clocks / physiology*
Computer Simulation
Models, Biological*
Multivariate Analysis
Oscillometry / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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