This HTML5 document contains 65 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
yago-reshttp://yago-knowledge.org/resource/
dbohttp://dbpedia.org/ontology/
foafhttp://xmlns.com/foaf/0.1/
n5http://dbpedia.org/resource/File:
n14https://global.dbpedia.org/id/
n11http://dbpedia.org/resource/UV/
yagohttp://dbpedia.org/class/yago/
dbthttp://dbpedia.org/resource/Template:
rdfshttp://www.w3.org/2000/01/rdf-schema#
freebasehttp://rdf.freebase.com/ns/
n7http://commons.wikimedia.org/wiki/Special:FilePath/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
wikipedia-enhttp://en.wikipedia.org/wiki/
dbchttp://dbpedia.org/resource/Category:
provhttp://www.w3.org/ns/prov#
dbphttp://dbpedia.org/property/
xsdhhttp://www.w3.org/2001/XMLSchema#
wikidatahttp://www.wikidata.org/entity/
goldhttp://purl.org/linguistics/gold/
dbrhttp://dbpedia.org/resource/

Statements

Subject Item
dbr:Ultrafast_laser_spectroscopy
dbo:wikiPageWikiLink
dbr:Two-dimensional_correlation_analysis
Subject Item
dbr:Covariance_matrix
dbo:wikiPageWikiLink
dbr:Two-dimensional_correlation_analysis
Subject Item
dbr:Two-dimensional_correlation_analysis
rdf:type
yago:Cognition100023271 yago:Abstraction100002137 yago:PsychologicalFeature100023100 yago:Method105660268 yago:WikicatScientificTechniques yago:Ability105616246 yago:Know-how105616786 yago:Technique105665146 dbo:TopicalConcept
rdfs:label
Two-dimensional correlation analysis
rdfs:comment
Two dimensional correlation analysis is a mathematical technique that is used to study changes in measured signals. As mostly spectroscopic signals are discussed, sometime also two dimensional correlation spectroscopy is used and refers to the same technique.
foaf:depiction
n7:2DCorrelationSpectrumPresence.svg n7:2DCorrelationSpectrum.svg n7:2DCorrelationSpectrumAC.svg n7:2DCorrelationDemoDataset.svg
dcterms:subject
dbc:Scientific_techniques dbc:Spectroscopy
dbo:wikiPageID
26250710
dbo:wikiPageRevisionID
1112211110
dbo:wikiPageWikiLink
n5:2DCorrelationSpectrumAC.svg n5:2DCorrelationSpectrumPresence.svg dbr:Fluorescence_correlation_spectroscopy n5:2DCorrelationDemoDataset.svg n5:2DCorrelationSpectrum.svg dbr:X-ray_fluorescence dbr:Two-dimensional_infrared_spectroscopy dbc:Scientific_techniques dbr:Correlation_spectroscopy n11:VIS_spectroscopy dbr:Hilbert_transform dbr:Isao_Noda dbr:Disrelation_spectrum dbr:Spectroscopy dbr:Catalyst dbr:Infrared_spectroscopy dbr:Covariance dbc:Spectroscopy dbr:Correlation dbr:Autocorrelation dbr:Fourier_transformation dbr:Fluorescence_spectroscopy dbr:Raman_spectroscopy dbr:Near_infrared_spectroscopy
owl:sameAs
freebase:m.0b752tz wikidata:Q7858695 n14:4wv8N yago-res:Two-dimensional_correlation_analysis
dbp:wikiPageUsesTemplate
dbt:Reflist
dbo:thumbnail
n7:2DCorrelationDemoDataset.svg?width=300
dbo:abstract
Two dimensional correlation analysis is a mathematical technique that is used to study changes in measured signals. As mostly spectroscopic signals are discussed, sometime also two dimensional correlation spectroscopy is used and refers to the same technique. In 2D correlation analysis, a sample is subjected to an external perturbation while all other parameters of the system are kept at the same value. This perturbation can be a systematic and controlled change in temperature, pressure, pH, chemical composition of the system, or even time after a catalyst was added to a chemical mixture. As a result of the controlled change (the perturbation), the system will undergo variations which are measured by a chemical or physical detection method. The measured signals or spectra will show systematic variations that are processed with 2D correlation analysis for interpretation. When one considers spectra that consist of few bands, it is quite obvious to determine which bands are subject to a changing intensity. Such a changing intensity can be caused for example by chemical reactions. However, the interpretation of the measured signal becomes more tricky when spectra are complex and bands are heavily overlapping. Two dimensional correlation analysis allows one to determine at which positions in such a measured signal there is a systematic change in a peak, either continuous rising or drop in intensity. 2D correlation analysis results in two complementary signals, which referred to as the 2D synchronous and 2D asynchronous spectrum. These signals allow amongst others 1. * to determine the events that are occurring at the same time (in phase) and those events that are occurring at different times (out of phase) 2. * to determine the sequence of spectral changes 3. * to identify various inter- and intramolecular interactions 4. * band assignments of reacting groups 5. * to detect correlations between spectra of different techniques, for example near infrared spectroscopy (NIR) and Raman spectroscopy
gold:hypernym
dbr:Technique
prov:wasDerivedFrom
wikipedia-en:Two-dimensional_correlation_analysis?oldid=1112211110&ns=0
dbo:wikiPageLength
15088
foaf:isPrimaryTopicOf
wikipedia-en:Two-dimensional_correlation_analysis
Subject Item
dbr:2D
dbo:wikiPageWikiLink
dbr:Two-dimensional_correlation_analysis
Subject Item
dbr:Two-dimensional_nuclear_magnetic_resonance_spectroscopy
dbo:wikiPageWikiLink
dbr:Two-dimensional_correlation_analysis
Subject Item
dbr:Two-dimensional_infrared_spectroscopy
dbo:wikiPageWikiLink
dbr:Two-dimensional_correlation_analysis
Subject Item
dbr:Two-dimensional_electronic_spectroscopy
dbo:wikiPageWikiLink
dbr:Two-dimensional_correlation_analysis
Subject Item
dbr:Two_dimensional_correlation_analysis
dbo:wikiPageWikiLink
dbr:Two-dimensional_correlation_analysis
dbo:wikiPageRedirects
dbr:Two-dimensional_correlation_analysis
Subject Item
dbr:Two_dimensional_correlation_spectroscopy
dbo:wikiPageWikiLink
dbr:Two-dimensional_correlation_analysis
dbo:wikiPageRedirects
dbr:Two-dimensional_correlation_analysis
Subject Item
wikipedia-en:Two-dimensional_correlation_analysis
foaf:primaryTopic
dbr:Two-dimensional_correlation_analysis