Nonlinear complex principal component analysis : applications to tropical Pacific wind velocity anomalies
Principal component analysis (PCA) has been generalized to complex principal component analysis (CPCA), which has been widely applied to complex-valued data, 2-D vector fields, and complexified real data through the Hilbert transform. Nonlinear PCA (NLPCA) can also be performed using auto-associativ...
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| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/2429/15354 |