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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/930406

Title
Convergence properties of subband identification
Author/Creator
Marelli, Damian;  Fu, Minyue
Description
The so-called subband identification method has been introduced recently as an alternative method for identification of finite-impulse response systems with a large tap size. It is known that this method can be more numerically efficent than the classical system identification method, while having a compatible performance. In this paper, we assume a probabilistic framework, and we deal with the following two problems: (1) whether or not the identification result depends on the particular realization of the random process under consideration, and (2) whether or not, the identification algorithm converges to the minimum of the error function. We study these properties by considering both the error functions in individual subbands and a combined error function. We study the critical-sampling and the oversampling cases. We show that optimum convergence is not always guaranteed in the oversampling case. A modification in the identification algorithm will be proposed to fix this problem.
Relation
The 4th Asian Control Conference (ASCC 2002). Proceedings of the 4th Asian Control Conference (ASCC 2002) (Singapore 25 - 27 September, 2002)
Relation
http://ascc2002.nus.edu.sg
Date
2002
Publisher
Causal Production
Keyword(s)
subband identification;  convergence properties;  oversampling;  algorithms
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/930406
Identifier
ISBN:9810464401
Language
eng
Reviewed
Reviewed
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"Convergence properties of subband identification"
 
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