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Bayesian model order selection for nonlinear system function expansions.

Abstract:

Orthonormal function expansions have been used extensively in the context of linear and nonlinear systems identification, since they result in a significant reduction in the number of required free parameters. In particular, Laguerre basis expansions of Volterra kernels have been used successfully for physiological systems identification, due to the exponential decaying characteristics of the Laguerre orthonormal basis and the inherent nonlinearities that characterize such systems. A critical...

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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience
Role:
Author
Journal:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Pages:
2165-2168
Publication date:
2008-01-01
ISSN:
1557-170X
URN:
uuid:1dcc88ac-0abb-4039-a0ed-d3dbc06947fb
Source identifiers:
477287
Local pid:
pubs:477287
Language:
English

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