Orthogonalization of correlated Gaussian signals for Volterra system identification
作者： V.J. Mathews
DOI: 10.1109/97.466706
关键词:
摘要: This article presents a simple method for orthogonalizing correlated Gaussian input signals identification of truncated Volterra systems arbitrary order nonlinearity P and memory length N. The procedure requires Gram-Schmidt orthogonalizer vector containing N elements some nonlinear processing the output processor. However, processors do not depend on statistics and, consequently, are easy to design implement. >
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sci-hub.se 参考文章(4)
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