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A New Method of Noncausal Identification of Time-varying Systems

Abstract

The paper shows that the problem of noncausal identification of a time-varying FIR (finite impulse response) sys- tem can be reformulated, and solved, as a problem of smoothing of the preestimated parameter trajectories. Characteristics of the smoothing filter should be chosen so as to provide the best trade- off between the bias and variance of the resulting estimates. It is shown that optimization of the smoothing operation can be performed adaptively using the parallel estimation technique.

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Copyright (2020, IEEE)

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Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Language:
English
Publication year:
2020
Bibliographic description:
Niedźwiecki M., Ciołek M., Gańcza A., Kaczmarek P.: A New Method of Noncausal Identification of Time-varying Systems// / : , 2020,
DOI:
Digital Object Identifier (open in new tab) 10.23919/spa50552.2020.9241263
Sources of funding:
Verified by:
Gdańsk University of Technology

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