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contributor authorHorel, J. D.
date accessioned2017-06-09T14:00:26Z
date available2017-06-09T14:00:26Z
date copyright1984/12/01
date issued1984
identifier issn0733-3021
identifier otherams-10797.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4145953
description abstractComplex principal component (CPC) analysis is shown to be a useful method for identifying traveling and standing waves in geophysical data sets. Combinations of simple progressive and standing oscillations are used to examine the properties of this technique. These examples illustrate that although CPC analysis allows for the identification of traveling waves, many of the drawbacks associated with conventional principal component analysis remain, and sometimes become worse; e.g. the interpretation of CPC solutions is more difficult since both amplitude and phase relationships must be considered. A method for linearly transforming complex principal components was devised in order to identify regional relationships within large geophysical data sets. The errors in CPC analysis resulting from limited sample sizes are discussed.
publisherAmerican Meteorological Society
titleComplex Principal Component Analysis: Theory and Examples
typeJournal Paper
journal volume23
journal issue12
journal titleJournal of Climate and Applied Meteorology
identifier doi10.1175/1520-0450(1984)023<1660:CPCATA>2.0.CO;2
journal fristpage1660
journal lastpage1673
treeJournal of Climate and Applied Meteorology:;1984:;volume( 023 ):;issue: 012
contenttypeFulltext


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