NDLI: Multiple time-varying dynamic analysis using multiple sets of basis functions

Content Provider	IEEE Xplore Digital Library
Author	Chon, K.H. He Zhao Zou, R. Kihwan Ju
Copyright Year	1964
Abstract	We extend a recently developed algorithm that expands the time-varying parameters onto a single set of basis functions, to multiple sets of basis functions. This feature allows the capability to capture many different dynamics that may be inherent in the system. A single set of basis functions that has its own unique characteristics can best capture dynamics of the system that have similar features. Therefore, for systems that have multiple dynamics, the use of a single set of basis functions may not be adequate. Computer simulation examples do indeed show the benefit of using multiple sets of basis functions over the single set of basis functions for cases with many switching dynamics. Moreover, the proposed method remains accurate even under significant noise contamination. Application of the proposed approach to blood pressure data likewise indicate better tracking capability of the two sets of basis function than the recursive least squares or a single set of basis functions.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	5
File Size	440595
Starting Page	956
Ending Page	960
File Format	PDF
ISSN	00189294
Volume Number	52
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Autoregressive processes TV Biomedical engineering Least squares methods Computer simulation Contamination Application software Blood pressure Transfer functions Wavelet packets Walsh function AR model ARMA basis function least mean squares Legendre recursive least square time-varying TVOPS
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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