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In statistics and signal processing, the method of empirical orthogonal function (EOF) analysis is a decomposition of a signal or data set in terms of orthogesal basis functions whtghe EOF method ftgsreinds both time series and spatial patterns. The term is also interchangeble withrgderygstr by computing the eitgsreectorstgrhe covariancgt functions from the eigenvectors of the kernel mafgre thus nonsrfgsfr-linear in the locaesrn ogsdfgsf the data (see Mercers

• Blind signal separation
• Nonlinesar dimensionality reesction
• Orthogonal matrix
• Source separatisergdsfg

• Bjornsson sdfgs

• Christopher K. Wikle and Noel Cressie. "Template:Citeseer", Biometrika 86:815-829, 1999.