Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1887
Title: Fast system identification algorithm for non-uniformly sampled noisy biomedical signal
Authors: Wong, Koon-pong
Feng, D. David
Siu, Wan-chi
Subjects: Discrete time systems
Eigenvalues and eigenfunctions
Least squares approximations
Medical signal processing
Parameter estimation
Physiological models
Signal sampling
Issue Date: 1996
Publisher: IEEE
Source: 1996 IEEE TENCON Digital Signal Processing Applications proceedings : The University of Western Australia, Perth, Western Australia, 26-29 November, 1996, v. 2, p. 559-564.
Abstract: The recently developed generalized linear least squares (GLLS) algorithm has been found very useful in non-uniformly sampled biomedical signal processing and parameter estimation. In this paper, the algorithm is used for the identification of a compartmental model with a pair of repeated eigenvalues based on the non-uniformly sampled noisy data. A case study is presented, which demonstrates that the algorithm is able to select the most suitable model for the system from the non-uniformly sampled noisy signals.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1887
DOI: 10.1109/TENCON.1996.608402
ISBN: 0-7803-3679-8
Appears in Collections:EE Conference Papers & Presentations

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