Linked Life Data

10384484

Source:http://linkedlifedata.com/resource/pubmed/id/10384484

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
1999-7-30
pubmed:abstractText
In this paper we present a class of time series distance measures based on the difference of their cepstral transformations. We emphasise the convenience of the proposed distance measure in the cases when the time series can be treated as output of a linear system driven with a quasi-periodic stochastic signals. In order to illustrate the cepstral time series distance measure we applied them in cluster and multidimensional scaling analysis of daily hormonal secretion fluctuation series taken from a group of patients before and after surgery.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
52 Pt 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
385-8
pubmed:dateRevised
2008-7-10
pubmed:meshHeading
pubmed:year
1998
pubmed:articleTitle
Cepstral distance measures of hormone concentration time series.
pubmed:affiliation
Institute of Applied Mathematics and Electronics, Faculty of Electrical Engineering, University of Belgrade, Yugoslavia.
pubmed:publicationType
Journal Article