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Wavelet
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=== Multiscale climate network === Agarwal et al. proposed wavelet based advanced linear <ref name="AgarwalMaheswaranMarwan2018">{{cite journal | last1 = Agarwal | first1 = Ankit | last2 = Maheswaran | first2 = Rathinasamy | last3 = Marwan | first3 = Norbert | last4 = Caesar | first4 = Levke | last5 = Kurths | first5 = Jürgen | title = Wavelet-based multiscale similarity measure for complex networks | journal = The European Physical Journal B | date = November 2018 | volume = 91 | issue = 11 | page = 296 | issn = 1434-6028 | eissn = 1434-6036 | doi = 10.1140/epjb/e2018-90460-6 | pmid = | bibcode = 2018EPJB...91..296A | s2cid = 125557123 | url = http://mural.maynoothuniversity.ie/13175/1/CL_geography_wavelet-based.pdf}}</ref> and nonlinear <ref name="AgarwalMarwanRathinasamy2017">{{cite journal | last1 = Agarwal | first1 = Ankit | last2 = Marwan | first2 = Norbert | last3 = Rathinasamy | first3 = Maheswaran | last4 = Merz | first4 = Bruno | last5 = Kurths | first5 = Jürgen | title = Multi-scale event synchronization analysis for unravelling climate processes: a wavelet-based approach | journal = Nonlinear Processes in Geophysics | date = 13 October 2017 | volume = 24 | issue = 4 | pages = 599–611 | eissn = 1607-7946 | doi = 10.5194/npg-24-599-2017 | pmid = | bibcode = 2017NPGeo..24..599A | s2cid = 28114574 | url = | doi-access = free }}</ref> methods to construct and investigate [[Climate as complex networks]] at different timescales. Climate networks constructed using [[Sea surface temperature|SST]] datasets at different timescale averred that wavelet based multi-scale analysis of climatic processes holds the promise of better understanding the system dynamics that may be missed when processes are analyzed at one timescale only <ref name="AgarwalCaesarMarwan2019">{{cite journal | last1 = Agarwal | first1 = Ankit | last2 = Caesar | first2 = Levke | last3 = Marwan | first3 = Norbert | last4 = Maheswaran | first4 = Rathinasamy | last5 = Merz | first5 = Bruno | last6 = Kurths | first6 = Jürgen | title = Network-based identification and characterization of teleconnections on different scales | journal = Scientific Reports | date = 19 June 2019 | volume = 9 | issue = 1 | page = 8808 | eissn = 2045-2322 | doi = 10.1038/s41598-019-45423-5 | pmid = 31217490 | pmc = 6584743 | bibcode = 2019NatSR...9.8808A | url = }}</ref>
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